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Abbott

Makes heart devices, glucose sensors and lab tests

IT Director - Data Product Management & Governance

Data ManagementPosted on Nov 12
Full-timeWaukegan, IL, USA$149.3k - $298.7k

About the Job

Requirements

  • At least 10 years of progressive leadership experience in data governance, data management, data product management, or data strategy roles within large, complex, matrixed environments.
  • Experience designing and operationalizing data governance frameworks or data product programs from concept through enterprise adoption, with measurable business outcomes.
  • Experience 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.
  • 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, and 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 machine learning and artificial intelligence-based governance approaches, including 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, including product lifecycle management, data SLA definition, data consumption patterns, and developer experience design.
  • Proven ability to lead, inspire, and develop high-performing technical and cross-functional teams, create clear career pathways, and build organizational bench strength.
  • Ability to translate complex data and governance concepts into clear narratives for senior business and IT stakeholders.
  • Ability to drive enterprise-wide change in matrixed organizations through influence, coalition-building, and stakeholder management without direct authority.
  • Ability to make analytical, data-driven decisions and translate strategy into executable roadmaps that deliver measurable results.
  • A bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field is required.

Responsibilities

  • Design and operationalize the enterprise data product operating model, defining standards for product ownership, lifecycle management, discoverability, and consumption across business domains.
  • Lead development and curation of a data product catalog and marketplace infrastructure that enables self-service access to high-quality, well-documented data assets.
  • Collaborate with domain data product owners to define service-level agreements, ownership accountability, usage metrics, and continuous improvement roadmaps for enterprise data products.
  • Promote a product mindset across the data organization by embedding 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 strategic and digital transformation priorities.
  • Own and continuously evolve the 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 data practices comply with applicable regulations, including HIPAA, CCPA/CPRA, GDPR, and evolving global data privacy legislation, in collaboration with Legal and Compliance.
  • Build and sustain data stewardship programs and domain ownership models that distribute and reinforce accountability for data quality across the enterprise.
  • 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, including AWS, Azure, and GCP.
  • Modernize automated data scanning, tagging, and classification capabilities to improve governance efficiency and strengthen data loss prevention outcomes.
  • Assess and invest in machine learning and artificial intelligence-based governance approaches, including automated lineage discovery, anomaly detection, synthetic data generation, and privacy-enhancing techniques.
  • Monitor the evolving data technology landscape and drive buy, build, or partner decisions that balance innovation with cost discipline.
  • Build, mentor, and develop a high-performing team spanning data governance specialists, data product managers, data stewards, and program managers.
  • Foster accountability, innovation, and data literacy; upskill the broader organization and democratize access to trusted, well-governed data.
  • Define team operating models, objectives and key results, and performance metrics that demonstrate the strategic and operational value of the data governance and product functions.
  • Set goals and hold the team accountable; translate governance strategy and product roadmaps into executable plans, track progress, and deliver measurable operational and financial impact.
  • Identify emerging governance technologies and data product practices, and translate external trends into organizational advantage.
  • Build trust across business and technology functions, use data to persuade, align stakeholders around shared priorities, and navigate organizational dynamics with integrity.
  • Recruit, develop, and retain diverse, high-performing talent; create career pathways, coach emerging leaders, and build bench strength across the data product and governance organization.

Desired Qualifications

  • Prior experience in healthcare, consumer goods, financial services, or similarly regulated large industries.
  • A master's degree, including an MBA or MS in Data Science, Information Management, or a related discipline, is strongly preferred.

About the Company

Abbott

Makes heart devices, glucose sensors and lab tests

Abbott makes medical devices, diagnostic tests, nutrition products and branded generic drugs for hospitals, laboratories, pharmacies and patients. Its best-known product is the FreeStyle Libre, a coin-sized sensor worn on the upper arm that tracks blood sugar around the clock without routine finger pricks. Its other lines run from heart valves, pacemakers and brain stimulators to lab analyzers, rapid tests and mail-in colon cancer screening kits, and Abbott earns money by selling these products to health systems, labs, retailers and consumers. The company was founded in 1888 by Chicago physician Wallace Abbott and is based in Abbott Park, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Abbott Park, IL
Founded
1888

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