10,374 Delta Lake jobs in the United States
Senior Data Management Professional - Data Science - Data Management Lab
10176 New York, New York
Bloomberg
Posted 15 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
New York
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
New York
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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0
Senior Consultant, Data Management Governance - AI Data Science
30383 Atlanta, Georgia
Cargill
Posted today
Job Viewed
Job Description
Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and ImpactThe Senior Consultant, AI Data Management & Governance builds risk-assessment methods and control implementation that keep Cargill's AI ecosystem-MLOps, LLMOps, third-party SaaS assistants, and agentic-process-automation (APA) platforms - safe, compliant, and trustworthy. Working with Security, Legal, Data Privacy, Platform Engineering, and Product teams, you will quantify AI-specific risks (eg, model bias, prompt injection, tool-calling abuse), set enterprise guardrails, and ensure practical controls are Embedded in every AI product and platform service.
Key AccountabilitiesSTRATEGIC PLANNING:
- Establish AI-specific risk categories (model risk, data-privacy leakage, third-party SaaS exposure, agent autonomy limits).
- Conduct complex risk assessments that quantify potential business impact and map exposure to the enterprise risk-appetite statement.
POLICY DEVELOPMENT & GOVERNANCE:
- Help maintenance of the enterprise AI risk register; score and prioritize risks arising from internal models, external APIs (OpenAI, Gemini, Anthropic), and APA tools.
- Develop due-diligence playbooks for vendor LLMs, SaaS copilots, optimization solvers (Gurobi Cloud), and hosted agent runtimes.
- Help creation and maintenance of AI Technology Governance Policy, including requirements for data sourcing, model evaluation, prompt safety, and human-in-the-loop review.
- Align internal standards to external standards like NIST AI RMF, ISO/IEC 42001, and upcoming regional AI Acts (eg, EU AI Act).
DATA QUALITY:
- Translate policy into technical controls (eg, model-card metadata, bias tests, prompt-filter APIs, secrets-management, lineage tracking) and verify deployment in MLOps/LLMOps pipelines.
- Lead periodic control testing, red-team exercises, and Responsible-AI reviews.
COMPLIANCE & RISK MANAGEMENT:
- Monitor global AI-related regulations; map new obligations to policy updates and platform backlog items.
- Coordinate evidence collection for audits and certifications (SOC 2, ISO 27001/42001).
DATA OPERATIONS & STEWARDSHIP:
- Define key risk indicators (KRIs) and performance metrics (eg, model-drift incidents, unapproved prompt exceptions, vendor AI SLA breaches).
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred:
6 years relevant experience
2 + years leading or coaching multidisciplinary teams on emerging-technology risk (AI/ML, cloud SaaS, or automation platforms).
The expected salary for this position is $105,000 - $155,000?Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.
At Cargill we put people first? As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: learn more (subject to certain collective bargaining agreements for Union positions) .
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law
Equal Opportunity Employer, including Disability/Vet.
View Now
1
Sr Consultant, Data Management & Governance - AI & Data Science
30309 Midtown Atlanta, Georgia
Cargill
Posted 1 day ago
Job Viewed
Job Description
Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
**Job Purpose and Impact**
The Senior Consultant, AI Data Management & Governance builds risk-assessment methods and control implementation that keep Cargill's AI ecosystem-MLOps, LLMOps, third-party SaaS assistants, and agentic-process-automation (APA) platforms - safe, compliant, and trustworthy. Working with Security, Legal, Data Privacy, Platform Engineering, and Product teams, you will quantify AI-specific risks (e.g., model bias, prompt injection, tool-calling abuse), set enterprise guardrails, and ensure practical controls are embedded in every AI product and platform service.
**Key Accountabilities**
STRATEGIC PLANNING:
+ Establish AI-specific risk categories (model risk, data-privacy leakage, third-party SaaS exposure, agent autonomy limits).
+ Conduct complex risk assessments that quantify potential business impact and map exposure to the enterprise risk-appetite statement.
POLICY DEVELOPMENT & GOVERNANCE:
+ Help maintenance of the enterprise AI risk register; score and prioritize risks arising from internal models, external APIs (OpenAI, Gemini, Anthropic), and APA tools.
+ Develop due-diligence playbooks for vendor LLMs, SaaS copilots, optimization solvers (Gurobi Cloud), and hosted agent runtimes.
+ Help creation and maintenance of AI Technology Governance Policy, including requirements for data sourcing, model evaluation, prompt safety, and human-in-the-loop review.
+ Align internal standards to external standards like NIST AI RMF, ISO/IEC 42001, and upcoming regional AI Acts (e.g., EU AI Act).
DATA QUALITY:
+ Translate policy into technical controls (e.g., model-card metadata, bias tests, prompt-filter APIs, secrets-management, lineage tracking) and verify deployment in MLOps/LLMOps pipelines.
+ Lead periodic control testing, red-team exercises, and Responsible-AI reviews.
COMPLIANCE & RISK MANAGEMENT:
+ Monitor global AI-related regulations; map new obligations to policy updates and platform backlog items.
+ Coordinate evidence collection for audits and certifications (SOC 2, ISO 27001/42001).
DATA OPERATIONS & STEWARDSHIP:
+ Define key risk indicators (KRIs) and performance metrics (e.g., model-drift incidents, unapproved prompt exceptions, vendor AI SLA breaches).
**Qualifications**
+ Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred:
+ 6 years relevant experience
+ 2 + years leading or coaching multidisciplinary teams on emerging-technology risk (AI/ML, cloud SaaS, or automation platforms).
#LI-KK1 #FGB #themuse
**Compensation Data**
_The expected salary for this position is $105,000 - $155,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance._
_At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit:_ _ _learn more (subject to certain collective bargaining agreements for Union positions) ._
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law
Equal Opportunity Employer, including Disability/Vet.
**Job Purpose and Impact**
The Senior Consultant, AI Data Management & Governance builds risk-assessment methods and control implementation that keep Cargill's AI ecosystem-MLOps, LLMOps, third-party SaaS assistants, and agentic-process-automation (APA) platforms - safe, compliant, and trustworthy. Working with Security, Legal, Data Privacy, Platform Engineering, and Product teams, you will quantify AI-specific risks (e.g., model bias, prompt injection, tool-calling abuse), set enterprise guardrails, and ensure practical controls are embedded in every AI product and platform service.
**Key Accountabilities**
STRATEGIC PLANNING:
+ Establish AI-specific risk categories (model risk, data-privacy leakage, third-party SaaS exposure, agent autonomy limits).
+ Conduct complex risk assessments that quantify potential business impact and map exposure to the enterprise risk-appetite statement.
POLICY DEVELOPMENT & GOVERNANCE:
+ Help maintenance of the enterprise AI risk register; score and prioritize risks arising from internal models, external APIs (OpenAI, Gemini, Anthropic), and APA tools.
+ Develop due-diligence playbooks for vendor LLMs, SaaS copilots, optimization solvers (Gurobi Cloud), and hosted agent runtimes.
+ Help creation and maintenance of AI Technology Governance Policy, including requirements for data sourcing, model evaluation, prompt safety, and human-in-the-loop review.
+ Align internal standards to external standards like NIST AI RMF, ISO/IEC 42001, and upcoming regional AI Acts (e.g., EU AI Act).
DATA QUALITY:
+ Translate policy into technical controls (e.g., model-card metadata, bias tests, prompt-filter APIs, secrets-management, lineage tracking) and verify deployment in MLOps/LLMOps pipelines.
+ Lead periodic control testing, red-team exercises, and Responsible-AI reviews.
COMPLIANCE & RISK MANAGEMENT:
+ Monitor global AI-related regulations; map new obligations to policy updates and platform backlog items.
+ Coordinate evidence collection for audits and certifications (SOC 2, ISO 27001/42001).
DATA OPERATIONS & STEWARDSHIP:
+ Define key risk indicators (KRIs) and performance metrics (e.g., model-drift incidents, unapproved prompt exceptions, vendor AI SLA breaches).
**Qualifications**
+ Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred:
+ 6 years relevant experience
+ 2 + years leading or coaching multidisciplinary teams on emerging-technology risk (AI/ML, cloud SaaS, or automation platforms).
#LI-KK1 #FGB #themuse
**Compensation Data**
_The expected salary for this position is $105,000 - $155,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance._
_At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit:_ _ _learn more (subject to certain collective bargaining agreements for Union positions) ._
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law
Equal Opportunity Employer, including Disability/Vet.
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2
RN - Med Surg in Lake Delta, NY - $2,422/week
Vetted Health
Posted 2 days ago
Job Viewed
Job Description
Vetted is seeking a RN - Med Surg for a travel job in Rome, New York. The job was posted 16 days ago. The assignment starts on ASAP and is 13 weeks long with 8 hour shifts 5 days a week.
You must live 60 miles away from the facility in order to get the travel rate.
The contract pays $2,422 per week gross, with $,695 in wages and 727 in stipend.
You'll need 2 years of experience, BLS and national and state certification and/or as required.
Benefits include
1. Quick Payments
Weekly pay through direct deposit
2. Health
Generous medical and dental plans
3. Housing
Stipend and per diem available
4. 401K Matching
Sliding scale matched up to 4%
Additional benefits include:
- Licensure reimbursement
- Best in the industry medical, dental, and vision
- Weekly pay through direct deposit
- Generous referral bonus program
- 24/7 support
- 401k with employer match
- Guaranteed hours
- Assistance with travel and planning
- Employee discount program
- Competitive bonuses
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3
Senior Consultant, Data Management Governance - AI and Data Science
30383 Atlanta, Georgia
Cargill
Posted 1 day ago
Job Viewed
Job Description
Cargill is a large family company with a mission to nourish the world in a safe, responsible, and sustainable way. We provide essential food, ingredients, agricultural solutions, and industrial products that impact billions of lives daily. With a workforce of 160,000 colleagues in 70 countries, we connect farmers to markets, customers to ingredients, and families to daily necessities.
Job Purpose and Impact
The Senior Consultant for AI Data Management & Governance will play a crucial role in ensuring the safety, compliance, and trustworthiness of Cargill's AI ecosystem, which includes MLOps, LLMOps, third-party SaaS assistants, and agentic-process-automation platforms. You will collaborate with Security, Legal, Data Privacy, Platform Engineering, and Product teams to assess AI-specific risks such as model bias, prompt injection, and tool misuse while creating effective enterprise controls.
Key Accountabilities
- Strategic Planning: Establish AI-specific risk categories and conduct sophisticated risk assessments that align with business impacts.
- Policy Development & Governance: Maintain AI risk registers and develop due-diligence playbooks for various AI technologies. Contribute to the AI Technology Governance Policy and align internal standards with external regulations.
- Data Quality: Translate policies into actionable technical controls and verify their implementation in MLOps/LLMOps pipelines. Lead control testing and reviews of Responsible AI practices.
- Compliance & Risk Management: Stay updated on global AI regulations and facilitate audits and certifications.
- Data Operations & Stewardship: Define key risk indicators and performance metrics to monitor AI processes effectively.
Qualifications
- Minimum of 4 years of relevant experience; typically requires 5 or more years.
- Preferred: 6 years of experience and 2+ years leading teams on tech risk, specifically in AI/ML and cloud SaaS.
Compensation Data
The expected salary for this position ranges from $105,000 to $155,000, depending on various factors including location, certifications, education, and experience. This role also includes eligibility for a discretionary incentive award based on both company performance and personal contributions.
Cargill prioritizes employee well-being, offering a comprehensive benefits program tailored to individual roles and hours worked.
We are an Equal Opportunity Employer, including Disability/Vet.
View Now
4
Data Management
28230 Charlotte, North Carolina
SMBC
Posted 1 day ago
Job Viewed
Job Description
SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
The anticipated salary range for this role is between and . The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
**Role Description**
Lead a team of Data Asset Managers and Data Specialists to deliver enterprise-grade Master and Reference data assets that underpin analytics, regulatory reporting, operational efficiency, and strategic decision-making data products across SMBC Bank. This role is accountable for the full data product lifecycle - from executing strategy, stakeholder engagement to delivery and continuous improvement - with a strong emphasis on governance, compliance, and technical integration across Informatica and Databricks platforms. Working in close partnership with Technology, Data Governance, Architecture, and Business Units, the role ensures that master and reference data assets are accurate, trusted, scalable, and aligned with SMBC's data strategy and regulatory obligations.
**Role Objectives**
+ Leadership & Team Development: Lead and develop a high-performing team of Data Asset Managers and Data Analysts. Foster a culture of accountability, innovation, and continuous improvement. Provide coaching and career development aligned to SMBC's talent strategy.
+ Master & Reference Data Strategy: Execute the strategic roadmap for master and reference data domains (e.g., counterparty, product, location, legal entity). Partner with data product strategy with SMBC's enterprise data architecture and regulatory requirements (e.g., BCBS 239, GDPR).
+ Stakeholder Engagement: Act as the primary interface between business units, data consumers, and technical teams. Translate business needs into data asset features and prioritized delivery plans. Champion the value of high-quality reference data across the organization.
+ Product Lifecycle Management: Own the end-to-end lifecycle of master and reference data assets - from discovery and design to deployment, maintenance, and decommissioning. Ensure robust metadata management, lineage tracking, and version control.
+ Data Governance & Quality: Partner with Data Governance and Compliance teams to ensure data assets meet internal and external standards. Oversee data quality frameworks, including profiling, validation, and remediation using Informatica Data Quality and Databricks workflows.
+ Technical Integration & Enablement: Collaborate with Engineering and Architecture teams to ensure seamless integration of data assets into SMBC's cloud and on-premises environments. Leverage Informatica MDM, Collibra for metadata and governance and Databricks for data processing and analytics.
+ User-Centric Design & Adoption: Ensure data assets are discoverable, well-documented, and easy to consume via data catalogues and self-service platforms. Participate in adoption through training, enablement, and feedback loops.
+ Performance & Compliance Monitoring: Define and track KPIs for data assets success, including usage, quality, and business impact. Ensure compliance with data handling policies and regulatory obligations.
+ Innovation & Continuous Improvement: Identify opportunities to enhance data asset capabilities, integrate new data sources, and automate delivery pipelines. Stay abreast of industry trends and emerging technologies in data management.
**Essential Experience & Skills**
+ Proven leadership in master and reference data management within a regulated financial institution.
+ Strong understanding of data governance, data quality, and metadata management principles.
+ Hands-on experience with Informatica and Databricks.
+ Deep knowledge of banking data domains and regulatory frameworks (e.g., BCBS 239, MiFID II).
+ Experience managing cross-functional teams and delivering enterprise data assets.
+ Skilled in stakeholder engagement across business, technology, and compliance functions.
+ Familiarity with Agile delivery, backlog management (e.g., Jira), and change enablement.
**Desirable Experience**
+ Experience with cloud platforms (Azure preferred), data catalogues, and workflow orchestration tools.
+ Knowledge of data modelling, API integration, and data architecture patterns.
+ Proficiency in data visualization tools.
SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
The anticipated salary range for this role is between and . The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
**Role Description**
Lead a team of Data Asset Managers and Data Specialists to deliver enterprise-grade Master and Reference data assets that underpin analytics, regulatory reporting, operational efficiency, and strategic decision-making data products across SMBC Bank. This role is accountable for the full data product lifecycle - from executing strategy, stakeholder engagement to delivery and continuous improvement - with a strong emphasis on governance, compliance, and technical integration across Informatica and Databricks platforms. Working in close partnership with Technology, Data Governance, Architecture, and Business Units, the role ensures that master and reference data assets are accurate, trusted, scalable, and aligned with SMBC's data strategy and regulatory obligations.
**Role Objectives**
+ Leadership & Team Development: Lead and develop a high-performing team of Data Asset Managers and Data Analysts. Foster a culture of accountability, innovation, and continuous improvement. Provide coaching and career development aligned to SMBC's talent strategy.
+ Master & Reference Data Strategy: Execute the strategic roadmap for master and reference data domains (e.g., counterparty, product, location, legal entity). Partner with data product strategy with SMBC's enterprise data architecture and regulatory requirements (e.g., BCBS 239, GDPR).
+ Stakeholder Engagement: Act as the primary interface between business units, data consumers, and technical teams. Translate business needs into data asset features and prioritized delivery plans. Champion the value of high-quality reference data across the organization.
+ Product Lifecycle Management: Own the end-to-end lifecycle of master and reference data assets - from discovery and design to deployment, maintenance, and decommissioning. Ensure robust metadata management, lineage tracking, and version control.
+ Data Governance & Quality: Partner with Data Governance and Compliance teams to ensure data assets meet internal and external standards. Oversee data quality frameworks, including profiling, validation, and remediation using Informatica Data Quality and Databricks workflows.
+ Technical Integration & Enablement: Collaborate with Engineering and Architecture teams to ensure seamless integration of data assets into SMBC's cloud and on-premises environments. Leverage Informatica MDM, Collibra for metadata and governance and Databricks for data processing and analytics.
+ User-Centric Design & Adoption: Ensure data assets are discoverable, well-documented, and easy to consume via data catalogues and self-service platforms. Participate in adoption through training, enablement, and feedback loops.
+ Performance & Compliance Monitoring: Define and track KPIs for data assets success, including usage, quality, and business impact. Ensure compliance with data handling policies and regulatory obligations.
+ Innovation & Continuous Improvement: Identify opportunities to enhance data asset capabilities, integrate new data sources, and automate delivery pipelines. Stay abreast of industry trends and emerging technologies in data management.
**Essential Experience & Skills**
+ Proven leadership in master and reference data management within a regulated financial institution.
+ Strong understanding of data governance, data quality, and metadata management principles.
+ Hands-on experience with Informatica and Databricks.
+ Deep knowledge of banking data domains and regulatory frameworks (e.g., BCBS 239, MiFID II).
+ Experience managing cross-functional teams and delivering enterprise data assets.
+ Skilled in stakeholder engagement across business, technology, and compliance functions.
+ Familiarity with Agile delivery, backlog management (e.g., Jira), and change enablement.
**Desirable Experience**
+ Experience with cloud platforms (Azure preferred), data catalogues, and workflow orchestration tools.
+ Knowledge of data modelling, API integration, and data architecture patterns.
+ Proficiency in data visualization tools.
SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at
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5
Lead Product Data Management Engineer (Configuration & Data Management)
63140 St. Charles, Missouri
The Boeing Company
Posted today
Job Viewed
Job Description
**Job Description**
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Boeing Defense, Space & Security** (BDS) Air Dominance is seeking a **Lead Product Data Management Engineer (Configuration & Data Management)** (Level 4) to support the **Systems Engineering Integration** **& Test (SEIT) Team** in **Berkeley, MO** .
The successful candidate will be responsible for leading and performing configuration planning, identification, change control, tracking, and verification, extracting technical product definition data, and facilitating program baseline management.
**Position Responsibilities**
+ Understand customer and supplier technical baseline management requirements.
+ Generate configuration management plans and processes.
+ Assign and maintain product and document identification.
+ Evaluate and lead the coordination of proposed engineering changes.
+ Prepare change control documents such as Engineering Change Proposals (ECP), Requests for Variance (RFV), Change Documents/Change Requests (CD/CRs), Conduct program Change Control Boards (CCB), perform configuration audits, generate configuration status reports, and others.
+ Generate Technical Data Packages (TDP) through interpretation of technical data delivery requirements and analysis and compilation of product design definition data
+ Collaborate with and advise fellow configuration management engineers on configuration management principles and job practices.
+ Collaborate with customers.
+ Engage in program planning.
**This position is expected to be 100% onsite. The selected candidate will be required to work onsite.**
**Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs.**
**This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.**
**Basic Qualifications (Required Skills/Experience)**
+ Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
+ 9+ years related work experience or an equivalent combination of technical education and experience
+ 5+ years using Excel to perform data analysis.
+ 5+ years editing PDF and Word files.
**Preferred Qualifications (Desired Skills/Experience)**
+ Demonstrated interest in personal learning and development as well as process improvement.
+ Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability.
+ Attention to detail.
+ Excellent spoken and written communication across organizations.
+ Use of scripting to collect data
**Typical Education & Experience**
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.
**Drug Free Workplace**
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
**Employee Referral**
Referral to this job is eligible for bonus to qualifying candidates.
**Total Rewards**
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $113,050 - $152,950
Applications for this position will be accepted until **Oct. 21, 2025**
**Export Control Requirements:** This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
**Export Control Details:** US based job, US Person required
**Education**
Bachelor's Degree or Equivalent Required
**Relocation**
This position offers relocation based on candidate eligibility.
**Security Clearance**
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Boeing Defense, Space & Security** (BDS) Air Dominance is seeking a **Lead Product Data Management Engineer (Configuration & Data Management)** (Level 4) to support the **Systems Engineering Integration** **& Test (SEIT) Team** in **Berkeley, MO** .
The successful candidate will be responsible for leading and performing configuration planning, identification, change control, tracking, and verification, extracting technical product definition data, and facilitating program baseline management.
**Position Responsibilities**
+ Understand customer and supplier technical baseline management requirements.
+ Generate configuration management plans and processes.
+ Assign and maintain product and document identification.
+ Evaluate and lead the coordination of proposed engineering changes.
+ Prepare change control documents such as Engineering Change Proposals (ECP), Requests for Variance (RFV), Change Documents/Change Requests (CD/CRs), Conduct program Change Control Boards (CCB), perform configuration audits, generate configuration status reports, and others.
+ Generate Technical Data Packages (TDP) through interpretation of technical data delivery requirements and analysis and compilation of product design definition data
+ Collaborate with and advise fellow configuration management engineers on configuration management principles and job practices.
+ Collaborate with customers.
+ Engage in program planning.
**This position is expected to be 100% onsite. The selected candidate will be required to work onsite.**
**Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs.**
**This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.**
**Basic Qualifications (Required Skills/Experience)**
+ Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
+ 9+ years related work experience or an equivalent combination of technical education and experience
+ 5+ years using Excel to perform data analysis.
+ 5+ years editing PDF and Word files.
**Preferred Qualifications (Desired Skills/Experience)**
+ Demonstrated interest in personal learning and development as well as process improvement.
+ Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability.
+ Attention to detail.
+ Excellent spoken and written communication across organizations.
+ Use of scripting to collect data
**Typical Education & Experience**
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.
**Drug Free Workplace**
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
**Employee Referral**
Referral to this job is eligible for bonus to qualifying candidates.
**Total Rewards**
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $113,050 - $152,950
Applications for this position will be accepted until **Oct. 21, 2025**
**Export Control Requirements:** This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
**Export Control Details:** US based job, US Person required
**Education**
Bachelor's Degree or Equivalent Required
**Relocation**
This position offers relocation based on candidate eligibility.
**Security Clearance**
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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6
Experienced Product Data Management Engineer (Configuration & Data Management)
63042 St. Louis, Missouri
The Boeing Company
Posted 13 days ago
Job Viewed
Job Description
**Job Description**
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Boeing Defense, Space & Security** (BDS) is seeking an **Experienced Product Data Management Engineer (Configuration & Data Management)** (Level 3) to support the **Systems Engineering Integration** **& Test (SEIT) Team** in **Hazelwood, MO** .
The successful candidate will be responsible for leading the implementation of overall configuration/Data Management processes as well as developing, establishing and executing the CM/DM processes within the DEE.
**Position Responsibilities**
+ Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements.
+ Leads the development of new and innovative methods and technologies, for change management.
+ Support the change process so that only approved and validated changes are incorporated into product documents and related hardware/software.
+ Prepares configuration management documentation, e.g. CCB meeting/agenda/ minutes. Develops new and innovative approaches aligned with industry best practices for Identification management.
+ Controlling/preparing baselines and preparing material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity.
+ Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration.
+ Ensures proper archiving and audibility of product releases.
+ Managing input and retrieval of data in the configuration management repository.
+ Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers.
+ Collaborate with teams in the development, analysis, management and compliance verification of process and product baselines of complex products.
+ Defines, plans, coordinates and conducts product and subsystem level technical design reviews and audits for new and derivative products.
+ Analyzes complex product trades and/or changes and develops technically complete change proposals.
+ Contributes to the development and implementation of Configuration and Data Management standards, processes and tools.
+ Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle.
+ Coordinates the integration of product elements and analyzes & resolves issues with engineering product structure.
+ Develops, integrates and implements engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions.
+ Works under general direction.
**This position is expected to be 100% onsite. The selected candidate will be required to work onsite.**
**Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs.**
**This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required. (A U.S. Security Clearance that has been active in the past 24 months is considered active)**
**This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.**
**This position is contingent upon program award.**
**Basic Qualifications (Required Skills/Experience)**
+ Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
+ 5+ years related work experience or an equivalent combination of technical education and experience
+ Proficient in Product Data Management (PDM) and Bill of Materials(BOM) systems.
**Preferred Qualifications (Desired Skills/Experience)**
+ Demonstrated interest in personal learning and development as well as process improvement.
+ Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability.
+ Attention to detail.
+ Excellent spoken and written communication across organizations.
+ Experience with Dassault MSOSA, Siemens TeamCenter, Siemens NX, Siemens OpCenter, and SAP S/4HANA
+ Use of scripting to collect data
**Typical Education & Experience**
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.
**Drug Free Workplace**
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
**Total Rewards**
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $90,100 - $121,900
Applications for this position will be accepted until **Oct. 09, 2025**
**Export Control Requirements:** This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
**Export Control Details:** US based job, US Person required
**Education**
Bachelor's Degree or Equivalent Required
**Relocation**
This position offers relocation based on candidate eligibility.
**Security Clearance**
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)
This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Boeing Defense, Space & Security** (BDS) is seeking an **Experienced Product Data Management Engineer (Configuration & Data Management)** (Level 3) to support the **Systems Engineering Integration** **& Test (SEIT) Team** in **Hazelwood, MO** .
The successful candidate will be responsible for leading the implementation of overall configuration/Data Management processes as well as developing, establishing and executing the CM/DM processes within the DEE.
**Position Responsibilities**
+ Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements.
+ Leads the development of new and innovative methods and technologies, for change management.
+ Support the change process so that only approved and validated changes are incorporated into product documents and related hardware/software.
+ Prepares configuration management documentation, e.g. CCB meeting/agenda/ minutes. Develops new and innovative approaches aligned with industry best practices for Identification management.
+ Controlling/preparing baselines and preparing material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity.
+ Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration.
+ Ensures proper archiving and audibility of product releases.
+ Managing input and retrieval of data in the configuration management repository.
+ Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers.
+ Collaborate with teams in the development, analysis, management and compliance verification of process and product baselines of complex products.
+ Defines, plans, coordinates and conducts product and subsystem level technical design reviews and audits for new and derivative products.
+ Analyzes complex product trades and/or changes and develops technically complete change proposals.
+ Contributes to the development and implementation of Configuration and Data Management standards, processes and tools.
+ Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle.
+ Coordinates the integration of product elements and analyzes & resolves issues with engineering product structure.
+ Develops, integrates and implements engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions.
+ Works under general direction.
**This position is expected to be 100% onsite. The selected candidate will be required to work onsite.**
**Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs.**
**This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required. (A U.S. Security Clearance that has been active in the past 24 months is considered active)**
**This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.**
**This position is contingent upon program award.**
**Basic Qualifications (Required Skills/Experience)**
+ Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
+ 5+ years related work experience or an equivalent combination of technical education and experience
+ Proficient in Product Data Management (PDM) and Bill of Materials(BOM) systems.
**Preferred Qualifications (Desired Skills/Experience)**
+ Demonstrated interest in personal learning and development as well as process improvement.
+ Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability.
+ Attention to detail.
+ Excellent spoken and written communication across organizations.
+ Experience with Dassault MSOSA, Siemens TeamCenter, Siemens NX, Siemens OpCenter, and SAP S/4HANA
+ Use of scripting to collect data
**Typical Education & Experience**
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.
**Drug Free Workplace**
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
**Total Rewards**
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $90,100 - $121,900
Applications for this position will be accepted until **Oct. 09, 2025**
**Export Control Requirements:** This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
**Export Control Details:** US based job, US Person required
**Education**
Bachelor's Degree or Equivalent Required
**Relocation**
This position offers relocation based on candidate eligibility.
**Security Clearance**
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)
This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
View Now
7
Data Management Clerk
Remote
$25 - $30 per hour
Devlan LLC
Posted 27 days ago
Job Viewed
Job Description
We are looking for a detail-oriented Data Management Clerk to support our team by accurately organizing, entering, and maintaining company data. In this role, you will ensure that all records are updated, verified, and easily accessible to support daily operations and reporting needs. The ideal candidate is highly organized, dependable, and comfortable handling sensitive information with confidentiality.
Responsibilities:
- Collect, enter, and update information in company databases and record-keeping systems
- Review data for accuracy, completeness, and consistency before and after entry
- Maintain organized electronic and physical filing systems for quick retrieval of records
- Assist with generating reports, summaries, and data analysis as requested
- Identify and correct data discrepancies in collaboration with team members
- Ensure compliance with company policies and data security procedures
- Provide general clerical and administrative support as needed
Qualifications:
- High school diploma or equivalent; additional coursework in office administration, data management, or IT is a plus
- Previous experience in data entry, records management, or clerical support preferred
- Strong computer skills, including proficiency in Microsoft Office (Excel, Word, Outlook)
- Familiarity with database or records management systems is an advantage
- Excellent organizational and multitasking abilities
- Strong attention to detail and accuracy in work
- Ability to work independently as well as part of a team
Benefits:
- Competitive pay
- Health, dental, and vision insurance
- Retirement savings plan with employer contribution
- Paid time off, holidays, and sick leave
- Opportunities for professional growth and training
- Supportive and collaborative work environment
Company Details
The Land Report Analysis, a service offering of Devlan LLC, provides you with the knowledge you need about the highest and best use of your property. Not the current value but the potential future value based on development. Know what the big developers know. Be informed. Don’t leave money on the table. We have over 30 years of land development and engineering experience. Get your comprehensive land report analysis today! We have over 30 years of land development and engineering experience. We realized that many people do not know the true value of their properties, and when they go to buy or sell, often times they leave money on the table or lose money. We’re here to help. Contact us for more information on how to receive your initial land report.
Apply Now
8
Data Management Specialist
19046 Jenkintown, Pennsylvania
Modus Health Group
Posted today
Job Viewed
Job Description
A Data Entry Specialist, is responsible for organizing weekly HIPAA compliant data files for loading and updating the client portal for market analysis. Duties include flagging update exceptions, posting weekly updates for internal analyst review and supporting client data requests. Additional responsibilities include maintaining the analytic portal help section and associated documentation.
REQUIREMENTS FOR HEALTHCARE DATA ENTRY SPECIALIST :
- Minimum Associates degree in Accounting, Finance or Healthcare Administration
- Experience working with SQL (required), and Microsoft Office (Word & Excel) preferred.
- Experience running Python scripts
- Must be extremely organized and flexible to adjust to multiple task requests and changing priorities.
- Experience with dashboard software tools is highly desired.
- Proven experience as a self-starter who can critically think of solutions to data challenges.
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9