3,379 Manufacturing Data jobs in the United States
Manufacturing Data Entry
Posted 12 days ago
Job Viewed
Job Description
Join to apply for the Manufacturing Data Entry role at InsulTech LLC
Join to apply for the Manufacturing Data Entry role at InsulTech LLC
Job Responsibilities
We are looking for an energetic, analytical, and detail-oriented individual to join our Operations team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obstacles are anticipated and removed. The goal is to keep production running smoothly without interruption through proactive planning. If you are eager to learn, you will have the opportunity to learn a lot in this job, and wear multiple hats. Responsibilities include:
- Job Entry
- Data Cleanup
- Data Analysis
- Makes internal communication on priorities, schedule, and capacity
We are looking for an energetic, analytical, and detail-oriented individual to join our Operations team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obstacles are anticipated and removed. The goal is to keep production running smoothly without interruption through proactive planning. If you are eager to learn, you will have the opportunity to learn a lot in this job, and wear multiple hats. Responsibilities include:
- Job Entry
- Data Cleanup
- Data Analysis
- Makes internal communication on priorities, schedule, and capacity
- Must have at least 1 years experience in manufacturing.
- Associates or Bachelors degree is desirable but may be substituted with successful industry experience.
- Must have excellent verbal and written English communication skills. Spanish/English proficiency is desirable.
- Advanced-level MS Excel user -- logic functions, pivot tables, visualizations.
- ERP experience is required.
- Legally authorized to work in the US without company sponsorship
- While performing the duties of this Job, the employee is regularly required to sit, stand, use hands to finger, handle, or feel and talk or hear. The employee is frequently required to reach with hands and arms.
- Specific vision abilities required by this job include close vision.
- This position is production-oriented and the successful candidate should be comfortable in a high volume, busy, industrial work setting.
- Seniority level Entry level
- Employment type Full-time
- Job function Administrative
- Industries Manufacturing
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#J-18808-LjbffrManufacturing Data Analyst
Posted 9 days ago
Job Viewed
Job Description
IEM is the largest independent full-line manufacturer of custom electrical distribution and power quality equipment in North America. Formed in 1957, IEM has delivered customer-specific solutions to meet the ever-changing power requirements of growth industries in North America for over half a century.
At IEM, we're not just growing - we're thriving! Our rapid expansion means new opportunities are always on the horizon. If you're someone who gets excited by making an impact through interesting challenges, you'll feel right at home.
Job Summary:
IEM is currently seeking a Manufacturing Data Analyst for our Fremont location and will report into the Manufacturing Manager.
The Manufacturing Data Analyst is responsible for collecting, organizing, and analyzing data from various departments within the manufacturing process. This role is critical in supporting data-driven decision-making to enhance operational efficiency and drive key performance indicators (KPIs). The incumbent would directly collaborate with site leadership and department managers on a daily basis.
Key Responsibilities:
Data Collection and Management
- Gather and compile data from various manufacturing departments (e.g., safety, quality, production, ops finance, supply chain)
- Ensure the accuracy and completeness of data collected.
- Organize data in databases and spreadsheets for easy access and analysis.
- Analyze data to identify trends, patterns, and anomalies that impact manufacturing processes.
- Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
- Collaborate with cross-functional teams to interpret data and provide actionable insights.
- Support continuous improvement initiatives by providing data-driven insights.
- Assist in identifying areas of inefficiency and suggest data-based solutions.
- Participate in root cause analysis for production issues and recommend corrective actions.
- Prepare and present data analysis reports to stakeholders at various levels of the organization.
- Communicate findings clearly and concisely to both technical and non-technical audiences.
- Assist in the development of documentation for data collection processes and procedures.
- Bachelor's degree in Data Science, Data Analytics, Statistics, Industrial Engineering, Manufacturing Engineering, or a related field.
- 3+ years of experience working in a manufacturing environment
- 2+ years of experience using data analysis tools (e.g., Excel, SQL, Python, etc.)
- Strong analytical skills with a keen eye for detail.
- Basic understanding of statistical methods and process improvement techniques.
- Familiarity with manufacturing processes and KPIs.
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
Workplace Conditions: This role requirestime spent both on the production floor and as well as at a desk.
Manufacturing Data Architect
Posted 17 days ago
Job Viewed
Job Description
The Team:
Join a dynamic and forward-thinking team in Dallas that's driving digital transformation across manufacturing operations. We are a cross-functional group of experts in operations, engineering, IT, and data analytics, working together to design cutting-edge data solutions that improve real-time decision-making and production performance. Be part of a collaborative environment where your expertise will help shape the future of smart manufacturing.
The Role:
We're seeking a Manufacturing Data Architect to lead the design and implementation of IIoT and industrial data platforms that support plant telemetry, process automation, and edge data processing. You will architect cloud-native data lakes (Snowflake, AWS) and integrate real-time machine and sensor data into centralized systems for predictive maintenance, performance optimization, and enterprise analytics. In this role, you'll define architectural standards, data modeling frameworks, and edge-to-cloud integration strategies while partnering with cross-functional teams to deliver scalable and secure data solutions aligned with Industry 4.0 goals.
What you'll bring:
10+ years of experience in data architecture, with a focus on manufacturing or industrial environments
Proven experience building and scalingIIoT or industrial data lakes on AWS, Snowflake, or Azure
Hands-on knowledge ofplant telemetry, process data, and edge processing tools and frameworks
Experience integrating MES, SCADA, and ERP systems into enterprise data platforms
Proficiency with IIoT toolsets and protocols (e.g., MQTT, OPC-UA, Azure IoT, AWS IoT Core)
Strong background in data modeling, governance, and real-time data ingestion and transformation
Familiarity with Medallion or Data Vault architecture and modern lakehouse patterns
Effective communication and collaboration across technical and non-technical teams
Cloud certifications (AWS, Azure, or GCP) and knowledge of secure data design principles
Bachelor's or Master's degree in Computer Science, Engineering, or related discipline
Preferred Qualifications:
* Experience with Industry 4.0, digital twins, and smart manufacturing.
* Familiarity with manufacturing KPIs, lean principles, and continuous improvement.
* Certifications in cloud platforms (Azure, AWS, GCP) or data architecture frameworks.
About us
We're a global team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
#LI-YM1
Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Manufacturing Data Analyst
Posted 21 days ago
Job Viewed
Job Description
Primary Duties & Responsibilities
- Develop models to derive real-time key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time. Sources of complex real-world data include both in-house databases and commercial enterprise platforms, such manufacturing execution system (MES) and enterprise resource planning (ERP).
- Build automated reports on commercial platforms such as Microsoft Power BI and JMP Live.
- Conduct on-demand data analysis and visualization to fulfill dynamic business needs.
- A bachelor's degree in statistics, computer science, software engineering, physics, materials science, mathematics, or similar STEM field.
- 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities.
- Candidates with a moderately lesser experience may apply, who will be considered for a commensurately junior position.
- Modelling and analysis of complex and imperfect real-world data.
- Data visualization in Power BI, Tableau, or a similar platform.
- Functional knowledge of common data sources, such as SQL databases and Apache Parquet.
- Sound understanding of fundamental concepts in statistics.
- Ability to learn new concepts and skills fast.
- Knowledge in manufacturing, materials science, or natural sciences would be a plus.
- Excellent interpersonal and communication skills.
- Ability to align technical strategies to business objectives.
Primarily office work on a computer. Occasional light tasks on the factory floor are possible.
Physical Requirements
- Ability to sustainably work on a computer full-time.
- Ability to perform light physical tasks on factory equipment.
Safety Requirements
All employees are required to follow the site EHS procedures and II-VI Corporate EHS standards.
Quality & Environmental Responsibilities
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
Culture Commitment
Ensure adherence to company's values (ICARE) in all aspects of your position at II-VI:
I ntegrity - Create an Environment of Trust
C ollaboration - Innovate Through the Sharing of Ideas
A ccountability - Own the Process and the Outcome
R espect - Recognize the Value in Everyone
E nthusiasm - Find a Sense of Purpose in Work
About Us
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.
Manufacturing Data Engineer
Posted 24 days ago
Job Viewed
Job Description
Due to the highly interactive and team-based nature of this role, in-person attendance for most of the workweek (i.e., 3 days or more) is essential for: effective communication including during in-person meetings, strong supervision, real-time problem-solving, and participation in cross-functional initiatives.
Want to make an impact?
The Manufacturing Data Engineer will build data infrastructure and dashboards to empower data-driven decisions. By working with data, the data engineer can consistently provide valuable insights on how Ferrara can improve its competitive advantage through initiatives in manufacturing, cost, quality, efficiency, service, and automation. The data engineer will be responsible for analytical and process support of our manufacturing facilities.
Ways you will make a difference
- Identify, design, and implement internal process improvements, automating manual processes, and optimizing data delivery and visualization
- Work with manufacturing stakeholders and IT teams to assist with data related issues and support their data infrastructure needs/requirements
- Build analytic tools from multiple sources to provide actionable insights into key business performance metrics and find opportunities to grow or improve
- Use project management skills to keep projects on time and within given constraints (resources, cost, etc)
- Use data to identify process gaps and inefficiencies within the current environment. Lead projects to improve/ standardize processes and strengthen controls
- Collaborate with the plant and IT teams to enhance the way our business utilizes technology, to increase user adoption of technology, and to drive efficiency. Validate new solutions, provide on-site support, and help train users during implementations of new technologies or capabilities
- Support new initiatives such as new technology and automation from a data standpoint. Identify ways to extract important information on these new technologies and automations.
- Perform other duties as assigned
- Ability to communicate effectively with all levels of the organization
- Talents to plan and manage different priorities
- Ability to work with cross-functional teams across all levels of the organization
- Skills to influence without authority
- Building effective relationships among all levels of the organization
- Being a change management agent
- Tolerance for ambiguity
- Bachelor’s degree in Industrial Engineering, Systems Engineering, or technical/business field
- 4+ years’ experience
- Demonstrated experience analyzing, data mining, and reporting on large and complex datasets
- Proficiency in Microsoft Office Suite
- Demonstrated knowledge of a data visualization platform (such as Tableau or Power BI)
- Demonstrated Knowledge of SQL required
- Knowledge of additional languages such as Python, R, VBA, etc, are a plus
- Experience in Statistical and Operations Research-based problem solving is a plus
- Working knowledge of SAP ECC and/or SAP APO is a plus
- Willingness and ability to travel to our manufacturing sites, largely located in the Chicago area but may include occasional travel to other locations within the United States and International locations
What We Offer
At Ferrara, we're proud to support our employees with comprehensive benefits that enhance health, financial wellness, and include paid time off (PTO). Eligible employees may also receive an annual bonus based on company performance. Learn more about our benefits at
Compensation
The salary range for this position is $99,600 to $139,440 annually.
Ferrara’s success in industry-leading innovation has been driven by deep consumer insights, strong retailer co-creation and partnerships, and a dedication to diversity of thought, experience, and people. A privately held company, Ferrara has its global headquarters in Chicago and an operational network of more than 27 locations in North America, Brazil, and China that includes manufacturing, distribution, sales, and R&D facilities. Ferrara is a privately held Ferrero related company. Learn more at or .
EQUAL OPPORTUNITY
We are proud to be an equal opportunity employer. In order to provide equal employment and advancement opportunities to all qualified applicants and employees, employment decisions and opportunities at Ferrara will be based on merit, qualifications, and abilities, without regard to race, color, creed, religion, sex, sexual orientation, gender identity and expression, marital or civil union status, national origin, ancestry, citizenship, age, military or veteran status, disability, handicap, genetic information, pregnancy (childbirth or related medical condition), or on any other basis prohibited by law. This policy governs all aspects of employment, including selection, job assignment, compensation, discipline, termination, and access to benefits and training.
Nearest Major Market: Chicago
Manufacturing Data Integration Specialist
Posted 13 days ago
Job Viewed
Job Description
We are excited to announce a direct hire opportunity for a Manufacturing Data Integration Specialist at a leading manufacturing company located in the Cincinnati area. This vital role is designed for a dynamic, technically skilled individual who is passionate about leveraging data to enhance manufacturing operations. The ideal candidate will be responsible for ensuring the seamless flow and integration of data across various manufacturing systems and business intelligence platforms. This position requires hands-on involvement on the plant floor, offering the right candidate the opportunity to greatly impact production efficiencies and decision-making processes.
Salary: $90,000.00 - $100,000.00 per year
Essential Duties and Responsibilities:
- Develop and maintain SQL queries and databases to manage and analyze manufacturing data.
- Build and optimize APIs for integrating various manufacturing systems (PLCs, SCADA) with enterprise applications to ensure real-time data flow and operational monitoring.
- Handle the integration of PLC systems with data storage and cloud platforms for centralized monitoring and control of manufacturing operations.
- Ensure data quality and integrity across all data collection points, implementing robust validation and error-checking protocols.
- Design and implement data-driven solutions to enhance production reporting, analytics, and dashboard visualizations.
- Provide technical support and troubleshooting for all data connectivity and integration issues in the production environment.
- Collaborate cross-functionally with IT, engineering, and production teams to gather requirements and execute system improvements.
- Maintain comprehensive documentation on system architectures, API workflows, and database schemas.
- Proven expertise in SQL development, database management, and API development (REST, SOAP).
- Experience with PLCs like Siemens, Allen-Bradley, or Mitsubishi and familiarity with industrial communication protocols like Modbus and OPC.
- Demonstrated ability to work in a manufacturing environment and engage effectively with plant floor personnel.
- Strong problem-solving skills and the capacity to perform under pressure to minimize downtime during critical operations.
- Excellent communication skills and the capability to convey technical details to non-technical stakeholders.
- 3+ years of experience in technical roles related to data integration, manufacturing systems, or industrial automation.
- Bachelor's degree in Computer Science, Engineering, Industrial Automation or a related field.
- Knowledge of IoT applications and their utilization in collecting data from industrial devices.
- Proficiency in data visualization tools such as Power BI or Tableau, particularly in manufacturing contexts.
- Experience with cloud platforms like AWS or Azure, especially their data integration services.
- Background in PLC programming and thorough understanding of industrial control systems.
- Advanced SQL skills, including query writing, stored procedures, and performance optimization.
- API development and integration, preferably in manufacturing environments.
- Hands-on experience with PLC systems and data integration into corporate data systems.
- Capability to manage multilayer data integration projects spanning from data collection to end-user analytics.
- Dynamic team collaboration and project management skills.
- Competitive salary package with annual performance reviews.
- Comprehensive health insurance including medical, dental, and vision coverage.
- Retirement planning and 401(k) contributions.
- Opportunities for professional development and continuous learning.
- Dynamic work environment with cutting edge technologies.
Additive Manufacturing Data Architect
Posted 24 days ago
Job Viewed
Job Description
This role is responsible for managing critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities across various development phases to enable analytical and reporting solutions. The position requires a minimum of four years of experience and involves analyzing and preparing data for data science-driven outcomes, maintaining metadata structures, and supporting post-deployment activities. Strong change management skills are essential, as the role requires identifying new technologies, securing stakeholder buy-in, and driving process improvements. Collaboration, communication, and problem-solving are key to navigating ambiguity, influencing decisions, and delivering innovative solutions in an agile environment. The ideal candidate should have hands-on experience with big data, CI/CD pipelines, and complex code development, as well as mentoring and coaching capabilities to grow talent within the team.
Job Description
Role Responsibilities:
- Responsible for managing business critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities in various phases of development to enable analytical and reporting solutions.
- Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.
- Change Agent - Proactively learns new tools and integrates new methods to drive improved outcomes. Identifies and assesses new technologies that can add value and capability to GE. Builds rapport with the team and gets buy-in for ideas. Drives stakeholder understanding and acceptance of new ideas in their business. Participates in change programs by planning implementation activities with other change champions. Implements monitoring and feedback systems. Solicits ideas for improving primary business processes.
- Collaboration - Establishes & communicates team members' roles in relation to their function and data. Shares knowledge, power and credit, establishing trust, credibility, and goodwill. Coordinates role responsibilities with that of others to achieve mutual goals. Encourages groups to work together to resolve problems. Proactively coaches and/or mentors others to improve their contribution to the team. Fosters relationship building between team members and those outside the team. Works with others to achieve goals without regard to band/title. Identifies gaps in roles on teams, and is recognized for growing and distributing talent pools across the organization.
- Comfort in Ambiguity - Identifies when additional information is needed from customer/manager/stake holder and asks relevant questions to obtain it. Delivers solution(s) where additional information may not be needed or available, while clearly stating any underlying assumptions. Communicates status. Evaluates data sets to determine possible value or steps to create value.
- Communication - Adjusts information (e.g. level of complexity) and story to align with audience. Produces functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts. Informs stakeholders of customer issues, identifies potential problems or conflicts and resolves them when necessary. Explains the story of the rationale and benefit of their ideas. Uses relevant and appropriate presentation techniques. Responds to questions and dissent in a constructive manner. Acknowledges limitations of one's own knowledge.
- Consulting - Provides options and counsel. Drives dialogues that produce new perspectives and substantial innovation, enhancements and analysis of consequences. Consults on projects to fit systems or infrastructure, and project goals to their function, and vice versa. Provides risk-assessed options in relation to process enhancement and professional expertise. Consults on data or data infrastructure development projects and identifies when necessary to modify the solution.
- Curiosity/Creativity - Connects ideas and solutions from a broad array of sources (e.g., what other businesses are doing, brainstorming with others). Pilots new ideas and processes that have not been utilized before.
- Decision Making & Risk Management - Analyzes and interprets business strategy, policies, values, complex data patterns and relationships to make decisions regardless of incomplete and conflicting information and uncertain consequences. Makes benchmarked and researched recommendations with contingency plans in place for potential adverse consequences; takes responsibility for consequences of decision/risk. Lobbies business partners and subject matter experts for consensus in taking action that sets direction in at least one critical business function.
- Influence - Ensures group understanding of issues and presents rationale to affect outcomes. Resolves conflicting opinions through consensus. Uses appropriate facilitation techniques to gain agreement or move others to action.
- Problem Solving - Identifies future roadblocks and promotes data-based problem solving. Assesses & prioritizes problems in relation to organizational goals. Coordinates team's work and performance with broader organizational objectives and manages conflicts between them. Advises others in how to solve difficult problems.
- Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 4 years of experience
- Must have 4 years of experience working with AWS
- Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
- Knowledge working with S3, Storage Gateway, and SageMaker.
- Experience with Python and SQL.
- Have worked with Firewalls.
- Influences LPBs and below on their decisions.
- Drives design and implementation of the roadmap.
- Design and develop complex code in multiple languages.
- Developing reusable code pipelines through CI/CD.
- Hands-on experience of big data or MPP databases.
- Developing and executing integrated test plans.
- Coach and mentor across pod to develop team members.
This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
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Additive Manufacturing Data Architect
Posted 24 days ago
Job Viewed
Job Description
Job Description Summary
This role is responsible for managing critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities across various development phases to enable analytical and reporting solutions. The position requires a minimum of four years of experience and involves analyzing and preparing data for data science-driven outcomes, maintaining metadata structures, and supporting post-deployment activities. Strong change management skills are essential, as the role requires identifying new technologies, securing stakeholder buy-in, and driving process improvements. Collaboration, communication, and problem-solving are key to navigating ambiguity, influencing decisions, and delivering innovative solutions in an agile environment. The ideal candidate should have hands-on experience with big data, CI/CD pipelines, and complex code development, as well as mentoring and coaching capabilities to grow talent within the team.
Job Description
Role Responsibilities:
-
Responsible for managing business critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities in various phases of development to enable analytical and reporting solutions.
-
Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.
-
Change Agent - Proactively learns new tools and integrates new methods to drive improved outcomes. Identifies and assesses new technologies that can add value and capability to GE. Builds rapport with the team and gets buy-in for ideas. Drives stakeholder understanding and acceptance of new ideas in their business. Participates in change programs by planning implementation activities with other change champions. Implements monitoring and feedback systems. Solicits ideas for improving primary business processes.
-
Collaboration - Establishes & communicates team members' roles in relation to their function and data. Shares knowledge, power and credit, establishing trust, credibility, and goodwill. Coordinates role responsibilities with that of others to achieve mutual goals. Encourages groups to work together to resolve problems. Proactively coaches and/or mentors others to improve their contribution to the team. Fosters relationship building between team members and those outside the team. Works with others to achieve goals without regard to band/title. Identifies gaps in roles on teams, and is recognized for growing and distributing talent pools across the organization.
-
Comfort in Ambiguity - Identifies when additional information is needed from customer/manager/stake holder and asks relevant questions to obtain it. Delivers solution(s) where additional information may not be needed or available, while clearly stating any underlying assumptions. Communicates status. Evaluates data sets to determine possible value or steps to create value.
-
Communication - Adjusts information (e.g. level of complexity) and story to align with audience. Produces functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts. Informs stakeholders of customer issues, identifies potential problems or conflicts and resolves them when necessary. Explains the story of the rationale and benefit of their ideas. Uses relevant and appropriate presentation techniques. Responds to questions and dissent in a constructive manner. Acknowledges limitations of one's own knowledge.
-
Consulting - Provides options and counsel. Drives dialogues that produce new perspectives and substantial innovation, enhancements and analysis of consequences. Consults on projects to fit systems or infrastructure, and project goals to their function, and vice versa. Provides risk-assessed options in relation to process enhancement and professional expertise. Consults on data or data infrastructure development projects and identifies when necessary to modify the solution.
-
Curiosity/Creativity - Connects ideas and solutions from a broad array of sources (e.g., what other businesses are doing, brainstorming with others). Pilots new ideas and processes that have not been utilized before.
-
Decision Making & Risk Management - Analyzes and interprets business strategy, policies, values, complex data patterns and relationships to make decisions regardless of incomplete and conflicting information and uncertain consequences. Makes benchmarked and researched recommendations with contingency plans in place for potential adverse consequences; takes responsibility for consequences of decision/risk. Lobbies business partners and subject matter experts for consensus in taking action that sets direction in at least one critical business function.
-
Influence - Ensures group understanding of issues and presents rationale to affect outcomes. Resolves conflicting opinions through consensus. Uses appropriate facilitation techniques to gain agreement or move others to action.
-
Problem Solving - Identifies future roadblocks and promotes data-based problem solving. Assesses & prioritizes problems in relation to organizational goals. Coordinates team's work and performance with broader organizational objectives and manages conflicts between them. Advises others in how to solve difficult problems.
Minimum Qualifications:
-
Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 4 years of experience
-
Must have 4 years of experience working with AWS
Eligibility Requirement:
- Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
Desired Qualifications:
-
Knowledge working with S3, Storage Gateway, and SageMaker.
-
Experience with Python and SQL.
-
Have worked with Firewalls.
Abilities:
-
Influences LPBs and below on their decisions.
-
Drives design and implementation of the roadmap.
-
Design and develop complex code in multiple languages.
-
Developing reusable code pipelines through CI/CD.
-
Hands-on experience of big data or MPP databases.
-
Developing and executing integrated test plans.
-
Coach and mentor across pod to develop team members.
This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Additive Manufacturing Data Architect

Posted 4 days ago
Job Viewed
Job Description
This role is responsible for managing critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities across various development phases to enable analytical and reporting solutions. The position requires a minimum of four years of experience and involves analyzing and preparing data for data science-driven outcomes, maintaining metadata structures, and supporting post-deployment activities. Strong change management skills are essential, as the role requires identifying new technologies, securing stakeholder buy-in, and driving process improvements. Collaboration, communication, and problem-solving are key to navigating ambiguity, influencing decisions, and delivering innovative solutions in an agile environment. The ideal candidate should have hands-on experience with big data, CI/CD pipelines, and complex code development, as well as mentoring and coaching capabilities to grow talent within the team.
**Job Description**
**Role Responsibilities:**
+ Responsible for managing business critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities in various phases of development to enable analytical and reporting solutions.
+ Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.
+ Change Agent - Proactively learns new tools and integrates new methods to drive improved outcomes. Identifies and assesses new technologies that can add value and capability to GE. Builds rapport with the team and gets buy-in for ideas. Drives stakeholder understanding and acceptance of new ideas in their business. Participates in change programs by planning implementation activities with other change champions. Implements monitoring and feedback systems. Solicits ideas for improving primary business processes.
+ Collaboration - Establishes & communicates team members' roles in relation to their function and data. Shares knowledge, power and credit, establishing trust, credibility, and goodwill. Coordinates role responsibilities with that of others to achieve mutual goals. Encourages groups to work together to resolve problems. Proactively coaches and/or mentors others to improve their contribution to the team. Fosters relationship building between team members and those outside the team. Works with others to achieve goals without regard to band/title. Identifies gaps in roles on teams, and is recognized for growing and distributing talent pools across the organization.
+ Comfort in Ambiguity - Identifies when additional information is needed from customer/manager/stake holder and asks relevant questions to obtain it. Delivers solution(s) where additional information may not be needed or available, while clearly stating any underlying assumptions. Communicates status. Evaluates data sets to determine possible value or steps to create value.
+ Communication - Adjusts information (e.g. level of complexity) and story to align with audience. Produces functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts. Informs stakeholders of customer issues, identifies potential problems or conflicts and resolves them when necessary. Explains the story of the rationale and benefit of their ideas. Uses relevant and appropriate presentation techniques. Responds to questions and dissent in a constructive manner. Acknowledges limitations of one's own knowledge.
+ Consulting - Provides options and counsel. Drives dialogues that produce new perspectives and substantial innovation, enhancements and analysis of consequences. Consults on projects to fit systems or infrastructure, and project goals to their function, and vice versa. Provides risk-assessed options in relation to process enhancement and professional expertise. Consults on data or data infrastructure development projects and identifies when necessary to modify the solution.
+ Curiosity/Creativity - Connects ideas and solutions from a broad array of sources (e.g., what other businesses are doing, brainstorming with others). Pilots new ideas and processes that have not been utilized before.
+ Decision Making & Risk Management - Analyzes and interprets business strategy, policies, values, complex data patterns and relationships to make decisions regardless of incomplete and conflicting information and uncertain consequences. Makes benchmarked and researched recommendations with contingency plans in place for potential adverse consequences; takes responsibility for consequences of decision/risk. Lobbies business partners and subject matter experts for consensus in taking action that sets direction in at least one critical business function.
+ Influence - Ensures group understanding of issues and presents rationale to affect outcomes. Resolves conflicting opinions through consensus. Uses appropriate facilitation techniques to gain agreement or move others to action.
+ Problem Solving - Identifies future roadblocks and promotes data-based problem solving. Assesses & prioritizes problems in relation to organizational goals. Coordinates team's work and performance with broader organizational objectives and manages conflicts between them. Advises others in how to solve difficult problems.
**Minimum Qualifications:**
+ Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 4 years of experience
+ Must have 4 years of experience working with AWS
Eligibility Requirement:
+ Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
**Desired Qualifications:**
+ Knowledge working with S3, Storage Gateway, and SageMaker.
+ Experience with Python and SQL.
+ Have worked with Firewalls.
**Abilities:**
+ Influences LPBs and below on their decisions.
+ Drives design and implementation of the roadmap.
+ Design and develop complex code in multiple languages.
+ Developing reusable code pipelines through CI/CD.
+ Hands-on experience of big data or MPP databases.
+ Developing and executing integrated test plans.
+ Coach and mentor across pod to develop team members.
_This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government._
**Additional Information**
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
**Relocation Assistance Provided:** No
GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Manufacturing Data AI Program Manager*
Posted 7 days ago
Job Viewed
Job Description
Job Title
Manufacturing AI Program Manager
Collaborate with Innovative 3Mers Around the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.
The Impact You'll Make in this Role
As a Manufacturing AI Program Manager, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:
* Project Management and Execution: Develop comprehensive project plans, including timelines, resource allocation, and risk management strategies, ensuring projects are delivered on time, within scope, and within budget. Manage and drive multiple projects simultaneously across various industries.
* Pilot Programs and Vendor Evaluation: Plan, execute, and assess pilot programs to vet AI technologies and data solutions, ensuring their effectiveness before broader implementation. Stay current with emerging AI and manufacturing data tools, evaluating their potential application in manufacturing operations.
* Identify Opportunities: Utilize a variety of tools and techniques to analyze data from multiple stages of manufacturing operations, including production planning, raw material procurement, testing, operations, packing, and shipping to identify and prioritize areas of opportunity.
* AI & Data Solutions: Implement AI or data-driven solutions to optimize manufacturing operations, focusing on commercial tools when possible but also considering custom development if needed.
* Cross-Functional Collaboration: Work closely with engineering, operations, and IT teams to align on the integration and use of AI solutions across various manufacturing areas.
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
* Bachelor's degree or higher in Engineering, Data Science, or Computer Science (completed and verified prior to start)
* Seven (7) years of manufacturing operations experience with an understanding of manufacturing data systems in a private, public, government or military environment
* Two (2) years of experience leading projects in a manufacturing environment
Additional qualifications that could help you succeed even further in this role include:
* Master's degree in Engineering, Data Science, Computer Science, or a related field from an accredited institution
* Project Management Professional certified
* Strong problem-solving skills and ability to distill complex manufacturing data into actionable insights.
* Excellent communication and collaboration skills to work effectively across cross-functional teams.
* Solid understanding of AI technologies, including LLMs, generative AI, and machine learning.
* Experience in evaluating, testing, and implementing AI and data solutions through pilot programs.
* Familiarity with both established AI vendors and emerging tools from startups in the manufacturing sector.
* Knowledge of industry-specific manufacturing processes and challenges.
Work location:
* Hybrid Eligible (Job Duties allow for some remote work but require travel to Maplewood at least 3 days per week)
Travel: May include up to 20% Domestic
Relocation Assistance: May be authorized
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
Responsibilities of this position may include direct and/or indirect physical or logical access to information, systems, technologies subjected to the regulations/compliance with U.S. Export Control Laws.
U.S. Export Control laws and U.S. Government Department of Defense contracts and sub-contracts impose certain restrictions on companies and their ability to share export-controlled and other technology and services with certain "non-U.S. persons" (persons who are not U.S. citizens or nationals, lawful permanent residents of the U.S., refugees, "Temporary Residents" (granted Amnesty or Special Agricultural Worker provisions), or persons granted asylum (but excluding persons in nonimmigrant status such as H-1B, L-1, F-1, etc.) or non-U.S. citizens.
To comply with these laws, and in conjunction with the review of candidates for those positions within 3M that may present access to export controlled technical data, 3M must assess employees' U.S. person status, as well as citizenship(s).
The questions asked in this application are intended to assess this and will be used for evaluation purposes only. Failure to provide the necessary information in this regard will result in our inability to consider you further for this particular position. The decision whether or not to file or pursue an export license application is at 3M Company's sole election.
Supporting Your Well-being
3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
Chat with Max
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.
Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: Faith Posting Date Range 06/27/2025 To 07/27/2025 Or until filled
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.
Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Pay & Benefits Overview: does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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