Sr. IT Manager, Global Data and Analytics

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 122000 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 your family be your true self and live a full life. Youll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution
• Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
• A company recognized as a great place to work in dozens of countries worldwide 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 the best place to work for diversity working mothers female executives and scientists.

The Opportunity

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.

This role serves as a trusted strategic advisor to business leaders and a key member of the Global Data & Analytics organization helping identify shape prioritize and drive data analytics and AI initiatives that deliver measurable business outcomes. Working across Commercial Marketing R&D Quality Operations Supply Chain Finance and other business functions this leader serves as a critical connector between business stakeholders Functional BRMs the Global Data & Analytics organization and Corporate IT teams bridging business strategy with execution to ensure investments are aligned to strategic priorities and focused on value realization.

A key aspect of this role is establishing and scaling ADCs Data Product delivery model embedding Product and Design Thinking practices across the organization and enabling business-led data governance. This leader will champion a product-centric approach to data analytics and AI while driving adoption of modern data engineering principles and capabilities to support trusted scalable and AI-ready data solutions.

This leader will provide 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 that align business priorities with enterprise technology capabilities.

The ideal candidate combines strategic thinking business acumen deep technical data and analytics expertise AI/GenAI knowledge product management mindset and strong stakeholder leadership to maximize the value of ADCs global data and analytics investments.

What Youll Do:

Strategic Business Partnership & Cross-Functional Alignment

• Serve as a trusted Data & Analytics leader supporting business functions in identifying opportunities to leverage data analytics AI and GenAI to drive business outcomes.
• Build strong partnerships and trusted relationships across Commercial Marketing R&D Quality Operations Supply Chain Finance and other business functions to understand priorities challenges and strategic objectives.
• Translate business priorities into actionable Data Analytics AI and Data Product initiatives.
• Lead cross-functional discussions to drive prioritization decision-making and execution alignment across multiple stakeholder groups.

Data Product Leadership & Design Thinking

• Establish scale and mature the Data Product delivery model across Abbott Diabetes Care.
• Champion product-centric ways of working and enable adoption of Data Product principles across ADC business domains.
• Partner with business stakeholders to identify define prioritize and govern Data Products aligned that deliver measurable business outcomes.
• Drive Data Product discovery visioning roadmap development and lifecycle management and value realization through KPIs and business impact.
• Promote reusable scalable and governed Data Products that support enterprise-wide consumption and decision-making.
• Support Data Mesh principles through domain-oriented data ownership and product-based data delivery.

Data Engineering & Platform Excellence

• Champion modern Data Engineering principles and best practices across the Data & Analytics ecosystem.
• Build strong data foundations aligned with standards for data quality observability metadata management lineage security and reusable data assets.
• Build trusted governed and reusable data assets though strong standards for data quality observability metadata management lineage security and reusable data assets.
• Drive adoption of modern data platform capabilities and engineering best practices in partnership with Architecture and Data Engineering teams ensuring enterprise data assets are scalable reliable governed and optimized for analytics and AI.
• Champion effective utilization of Databricks and modern lakehouse technologies to support Data Products Analytics AI and GenAI workloads.

Technical Leadership Solution Design & Architecture Alignment

• Provide technical leadership across Data Analytics AI and Data Product initiatives guiding opportunities from concept through delivery and value realization.
• Lead conceptual solution design activities translating business requirements into scalable data and analytics capabilities.
• Partner with Enterprise Architecture and Corporate IT teams to shape solution strategies architectural direction platform adoption and technology decisions.
• Evaluate solution options and trade-offs to balance business value scalability maintainability and technical feasibility.
• Provide technical guidance and challenge to ensure solutions are scalable secured governed reusable and aligned to intended business outcomes.

AI & Generative AI Leadership

• Lead the identification assessment prioritization and development of AI and GenAI opportunities across ADC.
• Partner with business stakeholders to define value-driven use cases business outcomes and success metrics.
• Evaluate opportunities based on strategic value feasibility adoption readiness and alignment with legal privacy compliance and cybersecurity requirements.
• Collaborate with Legal Privacy Cybersecurity Data Science Engineering Architecture and Delivery teams to support successful implementation of AI and GenAI initiatives.
• Promote responsible AI practices while monitoring adoption business impact and value realization of AI and GenAI solutions.

Portfolio Prioritization & Demand Management

• Drive successful delivery of Data Analytics AI and Data Product initiatives by partnering with Corporate IT Architecture Engineering and business stakeholders to ensure commitments are delivered on time within budget and aligned to expected business outcomes.
• Lead intake evaluation and prioritization of Data Analytics AI and GenAI initiatives.
• Facilitate investment trade-off discussions and portfolio decisions.
• Maintain visibility into initiative progress risks dependencies and expected outcomes.
• Ensure investments resources and delivery capacity remain focused on the highest-value opportunities.

• Provide portfolio recommendations and planning insights to business and Data & Analytics leadership.

Business-Led Data Governance & Stewardship

• Champion a business-led data governance model that promotes ownership accountability and stewardship of critical data assets.
• Establish and support data ownership stewardship governance and data quality practices across business domains.
• Promote adoption of metadata management cataloging governance and compliance best practices to improve trust and usability of enterprise data.
• Advocate for trusted governed and AI-ready data assets that support strategic business objectives.

Education and Experience Youll Bring

Required Qualifications

• 10 years of progressive experience in Data & Analytics leadership roles with strong foundations across Data Engineering Data Architecture Analytics Data Management and Data Governance.
• Demonstrated hands-on experience delivering enterprise-scale data and analytics solutions prior to moving into leadership roles.
• Proven experience partnering with senior business leaders and translating strategic priorities into scalable technology-enabled solutions.
• Expertise in operating across business functions Functional BRMs Data & Analytics Architecture Engineering and IT organizations within complex matrixed environments.
• Deep understanding of modern data architectures cloud-based analytics ecosystems enterprise data platforms and product-oriented delivery models including experience with 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 practices.
• 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 capabilities with the ability to balance business priorities technical considerations and long-term platform sustainability.

Preferred Qualification

• Experience in the healthcare industry including regulated environments involving patient clinical or healthcare data.
• Experience with enterprise analytics and business intelligence platforms including Power BI Tableau Qlik Sense or similar technologies supporting self-service analytics reporting and data-driven decision making.
• Familiarity with modern GenAI and LLM frameworks including experience with evaluating or implementing AI Generative AI and LLM-based solutions within 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.

Education

• Bachelors degree in information technology Information Systems Computer Science Engineering Data Analytics Business or a related field.
• Masters degree preferred.

Misc: This is an onsite role at Abbott location in Alameda CA. This is NOT a remote role/opportunity.

• Learn more about our health and wellness benefits which provide the security to help you and your family live full lives:
• Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.
• Connect with us at on Facebook at and on Twitter @AbbottNews.

The base pay for this position is

$148700.00 $297300.00

In specific locations the pay range may vary from the range posted.

IT Business Relationship Management

BTS Business Technology Services

United States > Alameda : Plaza 6 Building

Standard

Yes 10 % of the Time

Not Applicable

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: EEO is the Law link - Espanol: Experience:

Manager