Sr. IT Manager, Global Data and Analytics

Abbott • Alameda, CA

5d • $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 serves as a strategic advisor to business leaders and a key member of the Global Data & Analytics organization, helping identify, shape, prioritize, and drive initiatives that deliver measurable business outcomes. It connects stakeholders across Commercial, Marketing, R&D, Quality, Operations, Supply Chain, Finance, Functional BRMs, Global Data & Analytics, and Corporate IT, translating business strategy into aligned execution and value realization.

The role establishes and scales Abbott Diabetes Care’s Data Product delivery model, embeds Product and Design Thinking practices, and enables business-led data governance. It champions product-centric data, analytics, and AI practices and modern data engineering capabilities to deliver trusted, scalable, governed, and AI-ready solutions.

The manager provides technical leadership and conceptual solution direction across 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 technology capabilities. The position is onsite at Abbott’s Alameda, California location, with travel of 10% of the time.

Requirements

• 10+ years of progressive experience in Data & Analytics leadership roles, with strong foundations in Data Engineering, Data Architecture, Analytics, Data Management, and Data Governance.
• Demonstrated hands-on experience driving data strategy, data architecture, and Data Product governance, and delivering enterprise-scale data and analytics solutions.
• Proven 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 organizations in complex matrixed environments.
• Deep understanding of modern data architectures, cloud-based analytics ecosystems, enterprise data platforms, and product-oriented delivery models, including technologies such as Databricks, Snowflake, Amazon Redshift, and related cloud data platforms.
• Strong experience with AWS cloud services and architectures supporting enterprise Data & Analytics platforms.
• Hands-on experience with Databricks, including Lakehouse architecture principles, Delta Lake, Unity Catalog, and modern data governance practices.
• Experience establishing and scaling Data Products, Data Product operating models, Data Mesh principles, domain-oriented ownership, and business-led data governance.
• Experience leading conceptual solution design and influencing architecture, platform, and technology decisions in partnership with Architecture and Engineering teams.
• Proven ability to lead through influence, drive alignment, and make decisions across complex global matrix organizations.
• Strong strategic thinking, business acumen, and problem-solving skills, with 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 enterprise AI, Generative AI, and LLM-based solutions.
• 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.

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 their priorities, challenges, and objectives.
• Translate business priorities into actionable Data, Analytics, AI, and Data Product initiatives, and lead cross-functional prioritization and execution alignment.
• Establish, scale, and mature the Data Product delivery model across Abbott Diabetes Care; champion product-centric practices and Data Product principles.
• Partner with business stakeholders to identify, define, prioritize, and govern Data Products aligned with measurable business outcomes.
• Lead Data Product discovery, visioning, roadmap development, lifecycle management, KPI measurement, and value realization.
• Promote reusable, scalable, governed Data Products and support Data Mesh principles through domain-oriented data ownership and product-based delivery.
• Champion modern Data Engineering principles and practices, building strong data foundations for quality, observability, metadata management, lineage, security, and reusable data assets.
• Promote modern data platform capabilities and engineering practices with Architecture and Data Engineering teams, and encourage effective use of Databricks and lakehouse technologies.
• Provide technical leadership across Data, Analytics, AI, and Data Product initiatives, guiding opportunities from concept through delivery and value realization.
• Lead conceptual solution design, translating business requirements into scalable data and analytics capabilities.
• Partner with Enterprise Architecture and Corporate IT on solution strategies, architecture, platform adoption, and technology decisions; evaluate trade-offs and guide secure, governed, maintainable, reusable solutions.
• Identify, assess, prioritize, and develop AI and GenAI opportunities; define use cases, outcomes, and success measures with business stakeholders.
• Assess AI opportunities for strategic value, feasibility, readiness, and alignment with legal, privacy, compliance, and cybersecurity requirements; collaborate with relevant teams on implementation and responsible AI practices.
• Monitor adoption, business impact, and value realization of AI and GenAI solutions.
• Drive delivery of Data, Analytics, AI, and Data Product initiatives with business and technology partners, ensuring commitments are on time, within budget, and aligned to expected outcomes.
• Lead initiative intake, evaluation, and prioritization; facilitate investment trade-offs and portfolio decisions; track progress, risks, dependencies, and expected outcomes.
• Keep investments, resources, and delivery capacity focused on high-value opportunities and provide portfolio recommendations and planning insights to business and Data & Analytics leadership.
• Champion business-led data governance and establish or support ownership, stewardship, governance, and data quality practices across business domains.
• Promote metadata management, cataloging, governance, and compliance practices to improve data trust and usability, and advocate for trusted, governed, AI-ready data assets.

Benefits

• Career development with an international company.
• Employees can 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 a bachelor’s degree.

What This Job Offers

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