Senior Manager AI, Data, and Analytics

JOB DESCRIPTION:

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

As the Senior Manager AI Data and Analytics youll lead enterprise data analytics and AI enablement initiatives supporting Corporate Functions (Finance Procurement Legal Compliance and M&A) enabling strategic decision-making and measurable business outcomes. Youll shape a comprehensive data and analytics strategy including governance models that ensure scalable AI-ready partnership with platform integration governance and AI engineering teams youll translate business demand into prioritized delivery adoption and value realization. The successful candidate will ensure data integrity security and privacycombining technical expertise business acumen and leadership to deliver meaningful value.

What Youll Work On

• Serve as a first point of contact for Corporate Functions on AI Data and Analytics tooling and capabilities advising on best-fit solutions (enterprise platforms vs. productivity-embedded solutions) based on business use cases and risk considerations.
• Help operationalize intake-to-value delivery for AI/GenAI use cases (intake assess data readiness pilot scale) including clear stage gates ownership and benefits tracking in partnership with business risk and engineering stakeholders.
• Partner with business leaders and BRMs to shape demand and translate priorities into data domains analytics use cases and measurable business outcomes.
• Incorporate data and GenAI initiatives into prioritized roadmaps with clear outcomes dependencies and data readiness ensuring alignment with organizational strategic priorities.
• Define and enable agentic AI (e.g. copilots task-oriented agents and workflow-embedded AI) by establishing the data architecture and governance foundations that allow AI agents to safely reason act and integrate with enterprise systems.
• Partner with business leaders and external vendors establishing a data and analytics strategy and operating model (intake prioritization delivery adoption and value realization) for each function including governance models that ensure scalable AI-ready solutions.
• Evaluate and guide adoption of established and emerging technologies (e.g. cloud data platforms vector databases retrieval-augmented generation (RAG) advanced analytics and real-time inference architectures) to enhance corporate capabilities.
• Promote enterprise reporting standards and governed semantic layers to ensure consistent definitions of key metrics across Corporate Functions.
• Improve reliability and trust through data observability and operational controls (monitoring alerting SLAs and automated checks) in collaboration with platform and integration teams.
• Identify risks and support mitigation strategies impacting financial and operational performance.
• Communicate complex data architecture and analytics concepts to non-technical stakeholders in a clear actionable manner.
• Continuously evaluate and improve data and analytics processes and methodologies to increase reliability usability and time-to-insight.
• Allocate resources effectively to ensure successful execution of data and analytics initiatives.
• Track and report on the performance adoption and realized value of data and analytics products and initiatives (e.g. dashboards regular stakeholder reviews and post-implementation lessons learned).

Required Qualifications

• Minimum of 710 years of experience in data analytics.
• Strong technical foundation in data architecture and analytics including experience with data visualization tools (e.g. Power BI Tableau) and advanced analytics tooling (e.g. SQL Python R).
• Demonstrated experience defining and governing enterprise data architecture including data integration data quality metadata lineage and data governance frameworks.
• Strong experience with modern data delivery practices such as DataOps (CI/CD automated testing monitoring/observability and documentation) in support of regulated auditable environments.
• Knowledge of AI machine learning and GenAI applications in business and financial analytics.
• Strong business acumen with the ability to translate complex analyses into actionable recommendations.
• Proven leadership skills including experience influencing senior stakeholders and leading cross-functional teams.
• Bachelors degree in data science Statistics Computer Science Business Administration or a related field.

Preferred Qualifications

• Masters degree in data science Statistics Computer Science Business Administration or a related field.
• Advanced certifications in data architecture data analytics cloud or AI-related disciplines.
• Experience with cloud-based data platforms (e.g. AWS Azure).
• Familiarity with modern data platforms and patterns (e.g. lake house/warehouse orchestration event streaming data catalog/metadata) and how they support analytics and AI/GenAI solutions.
• Experience in a Corporate Finance function is a plus.

Misc: This is an onsite role at Abbott location in IL 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

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

JOB FAMILY:

DIVISION:

LOCATION:

ADDITIONAL LOCATIONS:

WORK SHIFT:

TRAVEL:

MEDICAL SURVEILLANCE:

SIGNIFICANT WORK ACTIVITIES:

Senior Manager