81 Data Management jobs in Caldwell

This service is set to disconnect automatically after {0} minutes of inactivity. Your session will end in {1} minutes. Click OK to reset the timer to {0} minutes. You have been signed out. This service is set to sign out after {0} minutes of inactivity. Job Description - VP, Data Management & Governance (240005J) Job Description VP, Data Management & Governance - ( 240005J ) Description VP, Data Management & Governance Location: New Jersey or New York Take the next step in your career with us. Allied World is an ideal place for talented professionals who are driven by a belief in the value of collaboration and the power of knowledge. We believe that when our great people work together and support one another, our clients receive the best solutions. We embrace unique perspectives and empower each person to grow through professional development, career training and mentoring programs . Our people are our most important asset, and we are very proud of the quality of our team members. Position Summary: VP, Data Management & Governance mission is to establish data governance framework, drive data management practices across the organization that aligned with Allied World’s strategic objectives . The ideal candidate is a strategic thinker and great data management and governance expert with ability to bring together business leaders, technology leaders and partners to: Identify critical data assets and their usage Create and activate data governance framework Establish policies and procedures to validate and protect our critical data assets Establish strong data management practices (catalog, quality, lineage, protection and master data management) VP, Data Management & Governance will play critical part in Allied World’s Data & Analytics Team lead by Chief Data Officer. Key Responsibilities Delivery Data Solutions – “What and Why” § Develop and Implement Data Governance Framework: Design, document, and implement data governance policies, standards, and procedures in alignment with company objectives and regulatory requirements Develop and maintain a comprehensive data governance framework and strategy. § Policy and Process Development: Define data classification schemes, data ownership models, and data lifecycle management practices. Ensure alignment with regulatory requirements, industry standards, and best practices. Establish data quality standards, metrics, and monitoring mechanisms. Collaborate with data owners and stewards to identify data quality issues and root causes. Implement data quality improvement initiatives and corrective actions as needed. § Data Security and Privacy: Develop and enforce data security and privacy policies, controls, and procedures. Ensure compliance with data protection regulations (e.g., HIPAA, GDPR) and industry standards. Monitor access controls, data encryption, and other security measures to mitigate risks. § Metadata Management and Documentation: Implement metadata management processes to capture and maintain data lineage, definitions, and dependencies. Establish data dictionaries, glossaries, and cataloging tools to facilitate metadata discovery and documentation. § Collaboration and Education: Collaborate with cross-functional teams to define data governance roles and responsibilities and promote a culture of data stewardship and accountability. Provide training and guidance to employees on data governance principles, policies, and procedures. Raise awareness of data management best practices and their importance to business operations. § Governance Oversight and Reporting: Establish mechanisms for governance oversight, including regular reviews and audits. Monitor compliance with data governance policies and assess effectiveness of controls. Prepare and present data governance reports, dashboards, and metrics to senior leadership. Oversee the implementation of data governance tools and technologies to support data lineage, metadata management, and data quality monitoring. Well Informed Stakeholders & Users – “Who” § Lead monthly “Data Ownership & Governance Forum” with each senior stakeholder and provide transparency on all data and analytics initiatives. § Influence and motivate the business, data, and product leads to create a culture of effective data management. § Partner with Information Security, Enterprise Architecture and Platform Engineering teams on all innovation and key technology initiatives to make sure data governance and management aspects effectively managed. § Lead monthly “Data Ownership & Governance Forum” with each senior stakeholder and provide transparency on all data and analytics initiatives. § Influence and motivate the business, data, and product leads to create a culture of effective data management. § Partner with Information Security, Enterprise Architecture and Platform Engineering teams on all innovation and key technology initiatives to make sure data governance and management aspects effectively managed. Grow the Agile Practice at Allied Word – “How” Accountability : Taking personal accountability to getting this done as per our commitments Transparency : Clearly provide visibility and communicate regularly on how we are progressing on any kind of deliverables Cost Effective : Always look for opportunities to be a cost-effective product organization by thoughtfully leveraging solutions, technology partners, on-site and off-shore expertise Culture : Nurture an environment where team can thrive in creativity to incubate new innovative technology/solutions that have practical and positive impact to the business. Qualifications Skills and Requirements: Extensive experience in data governance, data management, or related roles. A minimum of 4 years of experience in data governance, data management, or a related field, with at least 1 year in coaching junior resources and delivering data projects/programs. Strong understanding of data governance principles, frameworks, and best practices. Familiarity with regulatory requirements and industry standards related to data privacy and security. Certification in data governance or related areas (e.g., DM-BOK, CDMP) is a plus. Proficiency in data management tools and technologies, such as data cataloging tools, data quality tools, and data governance platforms. Strong understanding of the insurance industry is plus. Ability to develop data strategies that align with business goals. Excellent communication and interpersonal skills to interact with technical and non-technical stakeholders. Education & Certifications Bachelor’s degree or Advanced degree or equivalent in MIS, Computer Science, Data & Analytics or related field. About Fairfax Fairfax is a holding company which, through its subsidiaries, is engaged in property and casualty insurance and reinsurance and investment management. About Allied World Allied World Assurance Company Holdings, Ltd, through its subsidiaries , is a global provider of insurance and reinsurance solutions. We operate under the brand Allied World and have supported clients, cedents and trading partners with thoughtful service and meaningful coverages since 2001. We are a subsidiary of Fairfax Financial Holdings Limited, and benefit from a strong capital base and a worldwide network of affiliated entities that allow us to think and respond in non-traditional ways. Our generous benefits package includes: Health, Dental and Disability Insurance, a company match 401k plan, and Group Term Life Insurance. Allied World is an Equal Opportunity Employer. All qualified applicants will be considered for employment without consideration of any disability, veteran status or any other characteristic protected by law. #J-18808-Ljbffr

• Lead MDM Strategy: Act as the primary point of contact for Master Data Management within the US Commercial team, aligning with global data standards, technologies and strategy.
• Collaboration & Leadership: Partner with US Senior Commercial Management, IT Commercial Team and Analytics Team, to identify business requirements, design IT solutions, and prioritize data-related initiatives.
• Data Integration & Quality: Ensure seamless integration of master data across systems, business processes, and applications, maintaining data consistency, integrity, and regulatory compliance.
• Service Integration: Integrate, develop, and promote the US oneSupport services that define the foundational model for support, development, change management, and consulting activities offered to business stakeholders.
• Vendor & Stakeholder Management: Support the local ITBP in vendor management activities, monitor performance, and coordinate migration activities to ensure seamless transitions.
• Data Stewardship Oversight: Manage and guide third-party data stewardship activities, ensuring quality control and timely resolution of any data-related issues.
• Process Optimization: Drive the design and implementation of optimized MDM processes across commercial applications and business workflows.
• Continuous Improvement: Lead initiatives to improve data management practices, enhance data quality, and foster a culture of data excellence within the commercial team.

• Degree in a scientific discipline (preferred fields include supply chain, computer systems, engineering, or science)
• Experience with Master Data Management tools and processes, either as a consultant or an end-user
• Pharmaceutical IT experience within the relevant Business Domain is preferred
• Understanding of how master data quality impacts operational business processes
• Strong interest in master data quality and a passion for improvement initiatives
• Proficiency in Excel is required, Word, and Visio is preferred
• Strong analytical and problem-solving abilities
• Highly organized, autonomous, and structured in approach
• Collaborative team player, willing to share knowledge and support colleagues
• Customer-focused with the ability to thrive in a dynamic environment
• Excellent interpersonal, oral, and written communication skills
• Proficient in English communication

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Position: Test Data Management Architect

Location: Secaucus, NJ (Remote Work from Home)

Duration: 12+ Months Contract

Experience: Minimum 10 years handling TDM aspects

Job Description:

• Create enterprise level TDM strategy, managing and tracking roadmap/ongoing progress
• Hands-on experience installing, implementing various features of TDM tools preferably Delphix or others such as Broadcom TDM, IBM Optim, GenRocket etc.
• The Test Data Management (TDM) Architect is responsible for building enterprise test data management strategy focusing on enhanced data provisioning capabilities, data integration and devising efficient TDM processes.
• This role will develop Synthetic Data Generation strategies using TDM tools like GenRocket, CA Test Data Manager, informatica etc. and other complementary mechanisms like automation tools, SQL scripts, jobs and programming languages.
• Candidates for this role should be prepared to act as a technical expert in their field, focused on the technical aspects of TDM architecture, test data provisioning and maintenance.
• This role works with other stakeholders like Test Managers, Infrastructure, Release managers, DBAs, Risk & Security teams, Application owners to capture and review test data requirements and test data provisioning techniques and plans.

• TDM development for Synthetic Data Using CA TDM/Informatica-TDG/GenRocket
• Expertise on DBs Oracle, SQL Server, DB2, Postgre, Redshift etc
• Prior experience working with Life Sciences / Healthcare domain
• Leading Test Data Management & Synthetic Data Generation Implementations
• Data Discovery, Data Modeling and Analyses
• Business rule identification
• PHI analysis/Masking/Subsetting process definition
• Extensive knowledge of Databases, Data Warehouses, Business Processes and related data flows and systems integrations

• In collaboration with Clinical Development and Clinical Operations as well as other BDM functions, sets the vision, direction, and strategy for Clinical Data Management globally and ensures execution of the global data management strategy across regions and across studies/programs. Lead DM resource model internalization for both strategy and implementation in terms of infrastructure, processes/ standards, internal talents/expertise/leadership, and resource planning and management.

• Represents Data Management in governance bodies internally and externally with CRO partners and stakeholders.
• Liaises with other function heads to ensure effective cross-functional collaboration and proactive communication throughout the drug development process.
• Collaborates within the function and cross-functionally to resolve issues pertaining to data management in clinical trials and submissions work.
• Proactively identifies and manages risks for the data management function and supports functional risk identification/management efforts globally.
• Serves as the internal Data Management expert to provide strategic thinking for outsourcing strategy. As a member of the CRO governance committee, provides strategic leadership in Data Management related topics and establishes the oversight model for timely and quality delivery and regulatory compliance of outsourced activities.
• Ensures inspection readiness of all data management activities conducted internally or outsourced

• Provides strong leadership and inspiration to the Data Management function. Hires, develops, and retains talents. Responsible for the performance management of the Data Management function, including performance of outsourced data management activities.
• Forecasts and manages Data Management resources needs, budget and timelines
• Ensures Data Management has the appropriate skills, processes, and tools to achieve the R&D objectives.
• Monitors trends in departmental performance via quality, time, and cost indicators, and makes recommendations for improvements.
• Resolves and/or escalates issues encountered at the department level.
• Provides the highest level of CRO/vendor oversight to ensure project plans are executed properly (e.g., operational leadership teams).

• Serves as a Data Management expert accountable for robust R&D data management processes (including but not limited to CRF/eCRF design, all steps from database development to database release, data review and cleaning, database lock), to ensure data quality/integrity and regulatory compliance
• Ensures that Data Management Plans are consistent and regulatory compliant across studies and programs.
• Promotes Risk Based approaches to data cleaning and review
• Proactively collaborates cross-functionally during interactions with Regulatory Authorities and other key external stakeholders (e.g., advisory committees and integration teams).
• Serves as the Data Management leader representing R&D during regulatory inspections and internal audits pertaining to R&D activities.

• Leads standardization efforts in Data Management and ensure global implementation.
• Promotes automation, innovation, process improvement and technology enhancement in Data Management to increase Drug Development efficiency
• Provides oversight and leads the efforts to implement and develop Data Management processes and tools based on emerging trends, technology, and best practices.
• Leads implementation of improvements and makes recommendations for regional/global implementation.
• Actively contributes to the review of best practices within the function.
• Maintains peer relationships with thought leaders in Data Management and related areas.
• Leverages Data Management and related expertise to promote best practices across the Drug Development lifecycle.

• Bachelor's Degree with 15+ years of relevant experience required
• Master's Degree with 13+ years of relevant experience preferred
• Data management and/or related work experience in a medical device or pharmaceutical company, or similar environment (e.g., CRO) required

The Controls Management mission is to solidify an effective Firmwide control framework within and across the lines of business by identifying and remediating control issues with a sense of urgency, regardless of the source. The Controls Management team will work collaboratively with other control disciplines and will oversee existing control functions as well as the development of new control functions and protocols. This process will enable the firm to engage the appropriate teams in a timely manner and provide the ability to quickly remediate critical control issues across all the impacted areas of the firm.

The Controls Management Controls Room is a Firmwide Reporting Utility that provides standardized control-related data and drives quicker, efficient and accurate reporting. It's an information warehouse with capabilities for reporting, visualizations and analytics. Its primary goal is to enhance control oversight and efficiency through the standardization and automation of operational risk reporting, provide access to Firmwide aggregated information and produce business risk insight.

Job responsibilities

• Demonstrate good understanding of data governance framework, data quality & data lineage
• Implement and support Data Quality (DQ) practices. Define and manage data validation rules/reconciliations for critical data elements and other core attributes by running complex SQL queries
• Govern and triage DQ Issues as it progresses through the lifecycle
• Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption
• Set up data profiling and DQ rules leveraging DQ tools like RDHP (Reference Data Hosting Platform), Collibra, Informatica and other emerging tools
• Leverage productivity tools such as Alteryx and visualization tools such as Tableau to analyze large dataset to draw inferences
• Collaborate & Build strong partnerships with Business stakeholders & Technology teams to support data quality efforts
• Define data quality rules for critical data elements based on the Firmwide dimensions and obtain approval from Data Owner
• Demonstrates Teamwork by collaborating with others to integrate ideas & achieve common goals
• Set up ingestion of data sources to AWS public cloud and ensure data matches between source and target and support and feeds (API/KAFKA/Data Mesh) requirements.
• Review data models to understand data concepts and relationships. Perform ad hoc analysis and data extracts using Databricks or Hue/Impala
• Onboard new data categories on reconciliation framework to ensure consistency is maintained between source and target systems.
• Perform analysis, create visualization, presentations, wireframes and recertification steps on various data management components on ad hoc, quarterly and yearly basis

• Quantitative background (BA/BS in Math, Statistics, Economics, Computer Science, Engineering) with 3-4+ years of experience working with technology partners to develop products
• Experience using Data Quality tools such as Informatica Data Quality (BDQ/IDQ), DQCS (Data Quality Control Services), AWS Glue or similar tools is experience required
• Experience implementing and supporting Data Quality (DQ) practices by running data profiling and interpreting profiling results for CDEs.
• Experience defining and managing data validation rules/reconciliations for critical data elements and other core attributes by running complex SQL queries
• Experience using analytics and visualization tools/libraries (Tableau, Alteryx, etc.) to distill findings into insightful analytical solutions for stakeholders
• Experience translating user requests to technology requirements using agile management tools like JIRA
• Experience working with large complex data sets, understanding algorithm, drawing conclusions, and reporting DQ findings
• Excellent written and verbal communications skills. Must be able to communicate with a wide variety of functional groups at various levels
• Effective time management and multitasking skills
• Strong SQL, DataBricks, Excel and PowerPoint is a must have
• Flexible, adaptable to shifting priorities; able to work in a fast-paced, results driven environment
• Experience using metadata management tools such as Informatica/Collibra, RDHP and Jade Catalog

Preferred qualifications, capabilities and skills

• An understanding of the agile methodology
• Experience project managing small to large scale projects
• Experience working with internal control and risk management is a plus
• Strong background and understanding of big data and AWS Public Cloud environment and tools
• Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability
• Financial services industry background with specific experience in data analysis, DQ reporting or risk and controls

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Jersey City,NJ $95,000.00 - $155,000.00 / year

• Competitive compensation, including base pay and annual incentive.
• Comprehensive health and life insurance and well-being benefits, based on location.
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

• Lead the effort to build and support adoption of a shared data ecosystem to house all DTCC's enterprise data and make it available for consumption internally and externally to clients
• Lead the following teams in to define and implement the strategy to deliver on the shared data ecosystem:
• Data Engineering Team in partnership with the Platform team to build and support a data ecosystem that can seamlessly ingest, lead and serve up data for use across the enterprise and clients
• Data Solutions Team to partner with App Dev teams to deliver correct and complete data into the shared data ecosystem
• Data Reporting & Analytics Team to build and support reporting tools and analytics solutions based on business cases
• Work closely with Data Architecture, Data Standards, and Data Modeling team to ensure that the delivered solutions and data can serve enterprise usage for internal and external clients
• Own and lead IT General Control Environment including - Change Management, Configuration Management and Incident Management
• Ensure proper discipline and controls within the IT environment, as evidenced by strong audits and exams.
• Serve as a "Change Agent" who brings a sense of urgency and can mobilize resources and implement initiatives on time.
• Understand how technology works, bring a passion for technology, know the questions to ask, and be able to dig into the details.
• Develop a strong partnership with business line leaders, IT members, and the operations team. Understand the business/process making sure the technology delivery is seamless.
• Communicate technical issues to a non-tech audience and to be an effective bridge from business to technology.
• Effectively plan and supervise multiple large and/or complex projects and communicate status to management and project teams. Identify problem areas and alternative solutions.
• Fosters a risk management culture through implementation and demonstration of processes and procedures which identify and mitigate risk

• Hands-on experience with public and private cloud capabilities including computer, storage, database and analytics.
• Solid foundation in developing strategies to enable innovative data management, data analytics, data engineering, data security, data science, data warehousing, and GenAI to enable risk reduction, improved decision-making, improved efficiencies, and strong value for the DTCC.
• Experience with leading an IT environment, data, applications, and projects at the enterprise level (i.e., experience with balancing the different factors and competing demands of a multi-faceted, sophisticated IT environment).
• Demonstrated technology leadership experience in enterprise data governance, development and operating a technology data office and council, and
• Extensive experience running enterprise data development teams including deep knowledge of data movement, ETL/ELT, RDBMS, MDM, HDFS, NoSQL, Graph database, PostgresSQL, messaging, API and in- memory technologies. Hands-on experience with Snowflake, Cassandra, Kafka, Hadoop, Spark, Talend and Informatica technologies is desired.
• Experience with data virtualization, production use of open-source technologies and external cloud deployment (e.g. AWS, Azure, Google Cloud) for data storage and compute capabilities.
• Solid experience in Agile methodologies.
• Passion for designing end-to-end data engineering solutions using a variety of data processing patterns: Lambda, Kappa, Event Driven architecture, Data as a Service, Polyglot persistence, Domain Driven Design, etc.
• Experience hiring, developing talent, and leading a diverse, globally distributed, and inclusive team recognized for delivering results, intellectual horsepower, and collaboration.
• Clear and strategic vision before the art of the possible. Proven ability to execute with urgency and pragmatism in the current environment.
• Demonstrable ability to create, communicate and 'sell' compelling strategies at all levels of the organization. Highly effective at building, nurturing and leveraging relationships.
• Infectious excitement to lead a diverse team through change and generate followership along the way.
• A change agent with demonstrated ability to develop and implement strategic and tactical plans.

• Minimum of 15 years of related experience
• Bachelor's degree preferred or equivalent experience
• Processing and publication solutions.

• Hands-on experience with public and private cloud capabilities including compute, storage, database and analytics.
• Strong foundation in data analytics, data engineering and support of statistical model development (SAS, R, Python, etc.) and model scoring.
• Experience with leading an IT environment, data, applications, and projects at the enterprise level (i.e., experience with balancing the different factors and competing demands of a multi-faceted, complex IT environment).
• Demonstrated technology and personal leadership experience in enterprise data governance, data security, data warehousing, data analytics and online transaction processing (OLTP) data management technologies.