Senior Manager - AI, Data, and Analytics

About the role

The Senior Manager, AI, Data, and Analytics role at Abbott supports Corporate Functions such as Finance, Procurement, Legal, Compliance, and M&A. Your responsibilities include leading data, analytics, and AI enablement initiatives, shaping a comprehensive data and analytics strategy, and translating business demand into prioritized delivery, adoption, and value realization.

Responsibilities

• Serve as a first point of contact for Corporate Functions on AI, Data, and Analytics tooling and capabilities, advising on best-fit solutions based on business use cases and risk considerations.
• Operationalize intake-to-value delivery for AI/GenAI use cases, 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.
• Define and enable agentic AI by establishing the data, architecture, and governance foundations that allow AI agents to safely reason, act, and integrate with enterprise systems.
• Evaluate and guide adoption of established and emerging technologies 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 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.
• Track and report on the performance, adoption, and realized value of data and analytics products and initiatives.

Requirements

• Minimum of 7–10 years of experience in data analytics.
• Strong technical foundation in data architecture and analytics, including experience with data visualization tools and advanced analytics tooling.
• 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.
• Knowledge of AI, machine learning, and GenAI applications in business and financial analytics.
• Proven leadership skills, including experience influencing senior stakeholders and leading cross-functional teams.
• Bachelor’s 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 (preferred).
• Experience with cloud-based data platforms (e.g., AWS, Azure) (preferred).
• 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 (preferred).
• Experience in a Corporate Finance function (plus) (preferred).

Benefits

• Health Investment Plan (HIP) PPO medical plan.
• Adequate retirement savings plan with a high employer contribution.
• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit.
• Recognition as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• Recognition 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.

Pay

The base pay for this position is $129,300.00 – $258,700.00. In specific locations, the pay range may vary from the range posted.

Schedule

This is an onsite role at Abbott location in IL. This is not a remote role/opportunity.