Director of Data Management Jobs
Director of Data Management jobs are open across healthcare, financial services, technology, and government at every level from senior manager to VP, with specializations in data governance, master data management, and enterprise data strategy. See the openings below and apply to the ones that match your experience.
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Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
WORKING AT ABBOTT:
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
- Career development with an international company where you can grow the career you dream of
- Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
- An excellent retirement savings plan with high employer contribution
- Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists
The Opportunity
The IT Director, Data Product Management & Governance is a senior technology leader responsible for building and sustaining Abbott's enterprise data product capabilities and governance framework. This role serves as the operational and strategic linchpin between data producers and data consumers across Abbott's global business units — ensuring that data is governed with rigor, managed as a product, and delivered as a trusted enterprise asset. This leader will drive the design and execution of a data product operating model while simultaneously advancing governance capabilities — from metadata management and data quality to policy enforcement, regulatory compliance, and data stewardship. A successful candidate brings deep technical fluency, demonstrated program delivery experience, and the organizational influence required to embed accountability for data quality and lifecycle management across a matrixed global enterprise.
Key Responsibilities
Data Product Strategy & Management
- Design and operationalize Abbott's data product operating model — defining standards for product ownership, lifecycle management, discoverability, and consumption across all business domains.
- Lead the development and curation of a data product catalog and marketplace infrastructure, enabling self-service access to high-quality, well-documented data assets.
- Collaborate with domain data product owners to define SLAs, ownership accountability, usage metrics, and continuous improvement roadmaps for enterprise data products.
- Champion a product mindset across the data organization — embedding practices for user research, iterative development, and outcome measurement into data product delivery.
- Drive cross-functional initiatives to accelerate time-to-insight by reducing friction in data access, improving data usability, and expanding reuse of canonical data assets.
- Partner with the Head of Data and Analytics and senior IT leadership to align data product investments with Abbott's strategic and digital transformation priorities.
Data Governance Operations & Compliance
- Own and continuously evolve Abbott's enterprise data governance framework — including metadata standards, data lineage, data quality thresholds, access governance, and master data management.
- Lead the enterprise Data Risk Assessment program, identifying and managing data security risks across platforms, applications, and business initiatives.
- Ensure Abbott's data practices comply with applicable regulations including HIPAA, CCPA/CPRA, GDPR, and evolving global data privacy legislation — collaborating closely with Legal and Compliance to stay ahead of regulatory changes.
- Build and sustain data stewardship programs and domain ownership models that distribute and reinforce accountability for data quality across the enterprise.
Technology & Platform Enablement
- Lead evaluation, selection, and implementation of data governance and data product platforms — including data catalogs, lineage tools, data quality frameworks, and metadata management systems.
- Partner with Security Architecture and Enterprise Architecture to design and deploy integrated data governance and data security controls across on-premises and cloud environments (AWS, Azure, GCP).
- Modernize automated data scanning, tagging, and classification capabilities to improve governance efficiency and strengthen data loss prevention (DLP) outcomes.
- Assess and invest in ML/AI-based governance approaches — including automated lineage discovery, anomaly detection, synthetic data generation, and privacy-enhancing techniques.
- Maintain strategic awareness of the evolving data technology landscape; drive buy/build/partner decisions that balance innovation with cost discipline.
Team Building & Cross-Functional Collaboration
- Build, mentor, and continuously develop a high-performing team spanning data governance specialists, data product managers, data stewards, and program managers.
- Foster a culture of accountability, innovation, and data literacy, upskilling the broader organization and democratizing access to trusted, well-governed data.
- Define team operating models, OKRs, and performance metrics that demonstrate the strategic and operational value of the data governance and product functions.
Required Qualifications
Experience
- 10+ years of progressive leadership experience in data governance, data management, data product management, or data strategy roles within large, complex, matrixed environments.
- Demonstrated experience designing and operationalizing data governance frameworks or data product programs from concept through enterprise adoption, with measurable business outcomes.
- Proven track record managing cross-functional technology programs including platform implementations, organizational change initiatives, and regulatory compliance efforts on time and within budget.
- Hands-on experience with enterprise data governance tools including data catalogs, lineage platforms, data quality frameworks, and metadata management systems.
- Prior experience in healthcare, consumer goods, financial services, or similarly regulated large industries preferred.
Technical & Domain Knowledge
- Deep expertise in data governance principles, data architecture, data quality management, master data management, and enterprise data modeling.
- Strong understanding of cloud data platforms (AWS, Azure, GCP) and hybrid governance architectures spanning on-premises and cloud-native environments.
- Working knowledge of data protection strategies including encryption, tokenization, data masking, data loss prevention, and role-based access control design.
- Familiarity with ML/AI-based governance approaches: automated metadata tagging, anomaly detection, synthetic data, and differential privacy techniques.
- Solid command of global data privacy regulations including HIPAA, CCPA/CPRA, GDPR, and related legislative frameworks.
- Experience with data product management practices product lifecycle management, data SLA definition, data consumption patterns, and developer experience design.
Leadership & Influence
- Proven ability to lead, inspire, and develop high-performing technical and cross-functional teams; creates clear career pathways and builds organizational bench strength.
- Strong executive presence and communication skills — able to translate complex data and governance concepts into clear narratives for senior business and IT stakeholders.
- Demonstrated ability to drive enterprise-wide change in matrixed organizations through influence, coalition-building, and stakeholder management without direct authority.
- Analytical, data-driven decision-maker with a track record of translating strategy into executable roadmaps and delivering measurable results.
- Bachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, or related field.
Leadership Competencies
- Results Driver: Sets ambitious goals and holds self and team accountable. Translates governance strategy and product roadmaps into executable plans — tracking progress with rigor and delivering measurable operational and financial impact.
- Strategic and Systems Thinker: Brings intellectual curiosity and market awareness. Proactively identify emerging governance technologies and data product practices, translating external trends into competitive organizational advantage. Understands interconnections across data, technology, processes, and people. Designs holistic governance frameworks and product architectures that scale and anticipate second-order enterprise effects.
- Influential Collaborator: Builds trust across business and technology functions. Uses data to persuade, aligns diverse stakeholders around shared priorities, and navigates complex organizational dynamics with integrity
- Talent Builder and Culture Shaper: Recruits, develops, and retains diverse, high-performing talent. Creates clear career pathways, coaches emerging leaders, and builds bench strength across the data product and governance organization.
Preferred Qualifications
- Prior experience in healthcare, consumer goods, financial services, or similarly regulated large industries preferred.
- Master's degree (MBA, MS in Data Science, Information Management, or related discipline) is strongly preferred.
The base pay for this position is $149,300.00 – $298,700.00. In specific locations, the pay range may vary from the range posted.
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
WORKING AT ABBOTT:
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
- Career development with an international company where you can grow the career you dream of
- Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
- An excellent retirement savings plan with high employer contribution
- Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists
The Opportunity
The IT Director, Data Product Management & Governance is a senior technology leader responsible for building and sustaining Abbott's enterprise data product capabilities and governance framework. This role serves as the operational and strategic linchpin between data producers and data consumers across Abbott's global business units — ensuring that data is governed with rigor, managed as a product, and delivered as a trusted enterprise asset. This leader will drive the design and execution of a data product operating model while simultaneously advancing governance capabilities — from metadata management and data quality to policy enforcement, regulatory compliance, and data stewardship. A successful candidate brings deep technical fluency, demonstrated program delivery experience, and the organizational influence required to embed accountability for data quality and lifecycle management across a matrixed global enterprise.
Key Responsibilities
Data Product Strategy & Management
- Design and operationalize Abbott's data product operating model — defining standards for product ownership, lifecycle management, discoverability, and consumption across all business domains.
- Lead the development and curation of a data product catalog and marketplace infrastructure, enabling self-service access to high-quality, well-documented data assets.
- Collaborate with domain data product owners to define SLAs, ownership accountability, usage metrics, and continuous improvement roadmaps for enterprise data products.
- Champion a product mindset across the data organization — embedding practices for user research, iterative development, and outcome measurement into data product delivery.
- Drive cross-functional initiatives to accelerate time-to-insight by reducing friction in data access, improving data usability, and expanding reuse of canonical data assets.
- Partner with the Head of Data and Analytics and senior IT leadership to align data product investments with Abbott's strategic and digital transformation priorities.
Data Governance Operations & Compliance
- Own and continuously evolve Abbott's enterprise data governance framework — including metadata standards, data lineage, data quality thresholds, access governance, and master data management.
- Lead the enterprise Data Risk Assessment program, identifying and managing data security risks across platforms, applications, and business initiatives.
- Ensure Abbott's data practices comply with applicable regulations including HIPAA, CCPA/CPRA, GDPR, and evolving global data privacy legislation — collaborating closely with Legal and Compliance to stay ahead of regulatory changes.
- Build and sustain data stewardship programs and domain ownership models that distribute and reinforce accountability for data quality across the enterprise.
Technology & Platform Enablement
- Lead evaluation, selection, and implementation of data governance and data product platforms — including data catalogs, lineage tools, data quality frameworks, and metadata management systems.
- Partner with Security Architecture and Enterprise Architecture to design and deploy integrated data governance and data security controls across on-premises and cloud environments (AWS, Azure, GCP).
- Modernize automated data scanning, tagging, and classification capabilities to improve governance efficiency and strengthen data loss prevention (DLP) outcomes.
- Assess and invest in ML/AI-based governance approaches — including automated lineage discovery, anomaly detection, synthetic data generation, and privacy-enhancing techniques.
- Maintain strategic awareness of the evolving data technology landscape; drive buy/build/partner decisions that balance innovation with cost discipline.
Team Building & Cross-Functional Collaboration
- Build, mentor, and continuously develop a high-performing team spanning data governance specialists, data product managers, data stewards, and program managers.
- Foster a culture of accountability, innovation, and data literacy, upskilling the broader organization and democratizing access to trusted, well-governed data.
- Define team operating models, OKRs, and performance metrics that demonstrate the strategic and operational value of the data governance and product functions.
Required Qualifications
Experience
- 10+ years of progressive leadership experience in data governance, data management, data product management, or data strategy roles within large, complex, matrixed environments.
- Demonstrated experience designing and operationalizing data governance frameworks or data product programs from concept through enterprise adoption, with measurable business outcomes.
- Proven track record managing cross-functional technology programs including platform implementations, organizational change initiatives, and regulatory compliance efforts on time and within budget.
- Hands-on experience with enterprise data governance tools including data catalogs, lineage platforms, data quality frameworks, and metadata management systems.
- Prior experience in healthcare, consumer goods, financial services, or similarly regulated large industries preferred.
Technical & Domain Knowledge
- Deep expertise in data governance principles, data architecture, data quality management, master data management, and enterprise data modeling.
- Strong understanding of cloud data platforms (AWS, Azure, GCP) and hybrid governance architectures spanning on-premises and cloud-native environments.
- Working knowledge of data protection strategies including encryption, tokenization, data masking, data loss prevention, and role-based access control design.
- Familiarity with ML/AI-based governance approaches: automated metadata tagging, anomaly detection, synthetic data, and differential privacy techniques.
- Solid command of global data privacy regulations including HIPAA, CCPA/CPRA, GDPR, and related legislative frameworks.
- Experience with data product management practices product lifecycle management, data SLA definition, data consumption patterns, and developer experience design.
Leadership & Influence
- Proven ability to lead, inspire, and develop high-performing technical and cross-functional teams; creates clear career pathways and builds organizational bench strength.
- Strong executive presence and communication skills — able to translate complex data and governance concepts into clear narratives for senior business and IT stakeholders.
- Demonstrated ability to drive enterprise-wide change in matrixed organizations through influence, coalition-building, and stakeholder management without direct authority.
- Analytical, data-driven decision-maker with a track record of translating strategy into executable roadmaps and delivering measurable results.
- Bachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, or related field.
Leadership Competencies
- Results Driver: Sets ambitious goals and holds self and team accountable. Translates governance strategy and product roadmaps into executable plans — tracking progress with rigor and delivering measurable operational and financial impact.
- Strategic and Systems Thinker: Brings intellectual curiosity and market awareness. Proactively identify emerging governance technologies and data product practices, translating external trends into competitive organizational advantage. Understands interconnections across data, technology, processes, and people. Designs holistic governance frameworks and product architectures that scale and anticipate second-order enterprise effects.
- Influential Collaborator: Builds trust across business and technology functions. Uses data to persuade, aligns diverse stakeholders around shared priorities, and navigates complex organizational dynamics with integrity
- Talent Builder and Culture Shaper: Recruits, develops, and retains diverse, high-performing talent. Creates clear career pathways, coaches emerging leaders, and builds bench strength across the data product and governance organization.
Preferred Qualifications
- Prior experience in healthcare, consumer goods, financial services, or similarly regulated large industries preferred.
- Master's degree (MBA, MS in Data Science, Information Management, or related discipline) is strongly preferred.
The base pay for this position is $149,300.00 – $298,700.00. In specific locations, the pay range may vary from the range posted.
Director of Data Management Jobs by Experience Level
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Find JobsDirector of Data Management Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals12
- Healthcare & Medical Services2
- Consulting & Professional Services2
- Education1
- Science & Research1
What Employers Look For
The qualifications that appear most often in director of data management jobs.
- 7 or more years of experience in data management, governance, or a related data discipline
- Demonstrated experience building or leading enterprise data governance frameworks and policies
- Proficiency with data governance platforms such as Collibra, Alation, or Informatica
- Bachelor's or master's degree in computer science, information management, or a related field
- Experience with master data management, data quality tools, and metadata management programs
- Familiarity with regulatory compliance requirements such as HIPAA, GDPR, SOX, or CCPA
Tips for Your Director of Data Management Job Search
Lead your resume with governance metrics
Hiring managers for director of data management roles scan for concrete outcomes: data quality scores improved, policy frameworks built from scratch, or compliance gaps closed. Quantify the scope of programs you owned, not just your responsibilities.
Distinguish governance from engineering on your resume
Many applicants blur data management with data engineering. Clarify your ownership of data dictionaries, metadata standards, stewardship programs, and lineage documentation. Titles that miss this distinction rarely advance past initial screening.
Apply early to roles that fit
Migrate Mate lists director of data management openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by regulatory context
Filter openings by industry to match your compliance experience. A background in HIPAA-governed health data plays differently than one in financial data under SOX or BCBS. Applying where your regulatory depth matches the job description sharpens your pitch immediately.
Prepare a data strategy presentation for final rounds
Many director of data management searches end with a panel or executive presentation. Prepare a short framework showing how you would assess a data program's maturity and prioritize improvements, so you're not building it from scratch under pressure.
Negotiate scope alongside compensation
At director level, the mandate matters as much as the pay. Before accepting an offer, clarify whether you'll own policy and standards only, or also headcount, vendor contracts, and platform decisions. That scope difference affects your leverage in every future role.
Director of Data Management Jobs: Frequently Asked Questions
Which companies are hiring the most director of data managements?
Regeneron, Capital One, and PTC Therapeutics are hiring the most director of data managements right now, with openings concentrated in California, New Jersey, and Massachusetts, based on current listings on Migrate Mate as of November 2026. Healthcare systems, financial institutions, and large technology companies consistently post the highest volume of these roles.
How many director of data management jobs are remote?
About 72% of director of data management openings are fully remote or hybrid as of November 2026, reflecting broad employer acceptance of distributed leadership in data functions. Roles focused on data governance strategy and policy tend to offer the most remote flexibility, while positions with heavy cross-functional stakeholder management often require some on-site presence.
How do you become a director of data management?
Most directors of data management move up from data analyst, data steward, or data architect roles, progressively taking ownership of governance programs, data quality initiatives, and cross-functional policy work. Building hands-on experience with governance platforms, earning a certification such as CDMP, and demonstrating that you can align data standards to business outcomes are the clearest steps toward the director level.
Can you get a director of data management job without prior director experience?
Yes, candidates who have led enterprise-wide data governance programs, managed teams of data stewards, or owned a master data management implementation at a senior level often move directly into director roles. The key is showing documented ownership of program design and policy development, not just participation, and evidence that your work influenced decisions beyond your immediate team.
What does the director of data management interview process look like?
The process typically starts with a recruiter screen, followed by a technical interview covering data governance frameworks, metadata management, and tool experience. Later rounds usually involve meetings with cross-functional leaders in engineering, compliance, and business operations. Many organizations close with a presentation where you walk through how you would assess and improve their current data program maturity.
Where can I find and apply to director of data management jobs?
You can find and apply to director of data management jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your governance background, industry experience, and preferred location, then apply directly to each listing that fits.
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