Sr. IT Manager, Global Data and Analytics

Abbott Laboratories • Alameda, CA

10d • $148,700 - $297,300 • Onsite

About The Position

The Senior IT Manager – Global Data and Analytics is a global leadership role responsible for accelerating business value through Data, Analytics, Artificial Intelligence (AI), and Generative AI (GenAI) across Abbott Diabetes Care. The role acts as a strategic advisor to business leaders and a member of the Global Data & Analytics organization, connecting business stakeholders, Functional BRMs, Global Data & Analytics, and Corporate IT to translate strategy into prioritized initiatives and measurable outcomes.

The leader will establish and scale Abbott Diabetes Care’s Data Product delivery model, embed Product and Design Thinking practices, promote business-led data governance, and champion modern data engineering principles. The role provides technical leadership and conceptual solution direction for Data, Analytics, AI, and Data Product initiatives, partnering with Architecture, Engineering, and Corporate IT teams to shape scalable solutions aligned with business priorities and enterprise capabilities.

This is an onsite role at Abbott’s location in Alameda, California; it is not a remote role. The base pay range is $148,700 to $297,300, with ranges potentially varying by location.

Requirements

• 10+ years of progressive experience in Data & Analytics leadership roles, with foundations across Data Engineering, Data Architecture, Analytics, Data Management, and Data Governance.
• Hands-on experience driving data strategy, data architecture, and data product governance, and delivering enterprise-scale data and analytics solutions.
• Experience partnering with senior business leaders and translating strategic priorities into scalable, technology-enabled solutions.
• Expertise working across business functions, Functional BRMs, Data & Analytics, Architecture, Engineering, and IT in complex matrixed environments.
• Deep understanding of modern data architectures, cloud analytics ecosystems, enterprise data platforms, and product-oriented delivery models.
• Experience with cloud data platforms such as Databricks, Snowflake, Amazon Redshift, or related technologies.
• Strong experience with AWS cloud services and architectures supporting enterprise Data & Analytics platforms.
• Hands-on Databricks experience, including Lakehouse architecture principles, Delta Lake, Unity Catalog, and modern data governance practices.
• Experience establishing and scaling Data Products and Data Product operating models, applying Data Mesh principles and domain-oriented ownership, and enabling business-led data governance.
• Experience leading conceptual solution design and influencing architecture, platform, and technology decisions with Architecture and Engineering teams.
• Ability to lead through influence, drive alignment, and make decisions across complex global matrix organizations.
• Strong strategic thinking, business acumen, and problem-solving skills, including the ability to balance business priorities, technical considerations, and long-term platform sustainability.
• Bachelor’s degree in Information Technology, Information Systems, Computer Science, Engineering, Data Analytics, Business, or a related field.

Nice To Haves

• Healthcare industry experience, including work in regulated environments involving patient, clinical, or healthcare data.
• Experience with enterprise analytics and business intelligence platforms such as Power BI, Tableau, or Qlik Sense, supporting self-service analytics, reporting, and data-driven decision-making.
• Familiarity with modern GenAI and LLM frameworks, including evaluating or implementing AI, GenAI, and LLM-based solutions in enterprise environments.
• Exposure to applied AI/ML initiatives, including model governance, MLOps concepts, or responsible AI practices.
• Experience with Customer Data Platform (CDP) technologies.
• Exceptional communication, facilitation, stakeholder management, and executive presentation skills, with the ability to influence senior business executives, IT leadership, and cross-functional stakeholders.
• Master’s degree preferred.

Responsibilities

• Serve as a trusted Data & Analytics leader, helping business functions identify opportunities to use data, analytics, AI, and GenAI to drive business outcomes.
• Build partnerships across Commercial, Marketing, R&D, Quality, Operations, Supply Chain, Finance, and other functions to understand priorities and objectives.
• Translate business priorities into actionable Data, Analytics, AI, and Data Product initiatives, and lead cross-functional prioritization and alignment.
• Establish, scale, and mature the Data Product delivery model across Abbott Diabetes Care; promote product-centric ways of working and Data Product principles.
• Identify, define, prioritize, and govern Data Products with business stakeholders; lead discovery, visioning, roadmaps, lifecycle management, and measurement of business impact.
• Promote reusable, scalable, governed Data Products and support Data Mesh principles, domain-oriented data ownership, and product-based delivery.
• Champion modern data engineering practices and build trusted data foundations for quality, observability, metadata, lineage, security, and reuse.
• Drive adoption of modern data platform capabilities and engineering practices with Architecture and Data Engineering teams, including effective use of Databricks and lakehouse technologies.
• Provide technical leadership and conceptual solution design, translating business requirements into scalable data and analytics capabilities.
• Partner with Enterprise Architecture and Corporate IT on solution strategies, architectural direction, platform adoption, and technology decisions; evaluate trade-offs and guide teams toward secure, governed, reusable solutions.
• Identify, assess, prioritize, and develop AI and GenAI opportunities; define use cases, outcomes, and success metrics with business stakeholders.
• Collaborate with Legal, Privacy, Cybersecurity, Data Science, Engineering, Architecture, and Delivery teams to implement AI and GenAI initiatives responsibly and in compliance with relevant requirements.
• Monitor AI and GenAI adoption, business impact, and value realization, and promote responsible AI practices.
• Drive delivery of Data, Analytics, AI, and Data Product initiatives in partnership with business and technology teams, ensuring commitments meet timelines, budgets, and expected outcomes.
• Lead initiative intake, evaluation, prioritization, investment trade-off discussions, and portfolio decisions; track progress, risks, dependencies, and outcomes.
• Keep investment, resources, and delivery capacity focused on high-value opportunities, and provide portfolio recommendations and planning insights to leadership.
• Champion business-led data governance, establishing ownership, stewardship, accountability, and data quality practices across business domains.
• Promote metadata management, cataloging, governance, and compliance practices to improve the trust and usability of enterprise data.

Benefits

• Career development opportunities with an international company.
• Employees may qualify for free medical coverage in the Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• Retirement savings plan with a high employer contribution.
• Tuition reimbursement.
• Freedom 2 Save student debt program.
• FreeU education benefit, an affordable and convenient path to earning a bachelor’s degree.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior