Data Management Manager Jobs
Data Management Manager jobs are open across healthcare, financial services, technology, and retail, at every level from mid-career to senior and director, with specializations in data governance, master data management, and database administration. 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.
Data Management Manager Jobs by Experience Level
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Find Data Management Manager JobsData Management Manager Job Market
Who's Hiring
- Capital One28
- Information Technology Senior Management Forum23
- JPMorganChase17
- Guardians of Honor12
- Deloitte11
Top Industries Hiring
- Biotechnology & Pharmaceuticals13
- Technology & Software9
- Consulting & Professional Services5
- Education4
- Banking & Financial Services4
What Employers Look For
The qualifications that appear most often in data management manager jobs.
- Bachelor's degree in information management, computer science, or a related field
- 5 or more years of experience in data management, data governance, or database administration
- Proficiency with data governance or master data management platforms such as Collibra, Informatica, or Alation
- Experience developing and enforcing data quality standards, policies, and metadata frameworks
- Strong SQL skills and familiarity with cloud data platforms such as Snowflake, AWS, or Azure
- CDMP or equivalent data management certification preferred by many employers
Tips for Your Data Management Manager Job Search
Tailor your resume to governance frameworks
Highlight specific frameworks you've led or implemented, such as DAMA-DMBOK or DCAM. Hiring managers for data management managers scan for these names directly, so burying them in a generic skills list means your resume gets filtered out before a human reads it.
Certify in a recognized data management standard
A CDMP credential from DAMA International signals fluency in data governance concepts that hiring teams expect at the manager level. If you're mid-process on certification, list it as in-progress with the expected completion date so it still registers.
Apply early to roles that fit
Migrate Mate lists data management manager 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 tool stack, not just title
Data management manager roles split sharply by tech environment. Search for the data platforms you know best, such as Informatica, Collibra, or Alation, alongside the job title. You'll surface postings where your hands-on tool experience is an immediate differentiator.
Prepare a data quality case study for interviews
Interviewers at the manager level routinely ask you to walk through a data quality problem you owned end to end. Have one ready with a clear before-and-after metric, the stakeholders you coordinated, and the governance process you put in place. Vague answers don't land at this level.
Negotiate scope alongside compensation
Data management manager offers vary widely by how much authority the role actually carries. Before accepting, clarify whether you'll own data standards company-wide or only within one business unit, since scope affects career trajectory and your ability to build a meaningful portfolio for future roles.
Data Management Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data management managers?
The most active employers for data management managers right now are Capital One, Information Technology Senior Management Forum, and JPMorganChase, and the most openings are in Virginia, California, and Texas, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare systems, and large technology companies tend to maintain the most consistent demand for this role.
How many data management manager jobs are remote?
About 69% of data management manager openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed data leadership. Roles focused on data governance strategy and metadata management tend to be the most remote-friendly, while positions tied to on-premises database infrastructure or regulated data environments more often require an on-site presence.
How do you become a data management manager?
Start by building hands-on experience as a data analyst, database administrator, or data steward so you understand the operational layer before managing it. Move into a senior individual contributor role where you can own a data quality initiative or governance project end to end. Pursue a CDMP certification to formalize your knowledge of data management disciplines. From there, apply for lead or manager-level roles where you'll oversee a team and set data standards across a business unit or organization.
Can you get hired as a data management manager without direct management experience?
Yes, especially if you've led cross-functional data projects where you coordinated stakeholders, set data standards, or drove a governance rollout without holding a formal manager title. Employers in this space often value depth in data governance or master data management over a people-management history, so frame any project leadership you've done as evidence of your readiness to manage a team and own a data function.
What does the data management manager interview process look like?
The process typically starts with a recruiter or HR screen focused on your background and tool experience, followed by a technical interview where you'll walk through how you've approached data quality issues, metadata standards, or governance frameworks. Expect at least one panel interview with data stakeholders or business analysts who will probe how you translate data policy into practical workflows. Final rounds often include a case study or presentation where you outline how you'd build or improve a data governance program.
Where can I find and apply to data management manager jobs?
You can find and apply to data management manager jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that fit your experience level, industry background, and preferred tools, then apply directly to each listing that matches what you're looking for.
See All 652+ Data Management Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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