Senior Manager - AI, Data, and Analytics

Abbott • Chicago, IL

1d • $129,300 - $258,700 • Onsite

About The Position

As the Senior Manager, AI, Data, and Analytics, you’ll 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. You’ll shape a comprehensive data and analytics strategy, including governance models that ensure scalable, AI-ready solutions. In partnership with platform, integration, governance, and AI engineering teams, you’ll translate business demand into prioritized delivery, adoption, and value realization. The successful candidate will ensure data integrity, security, and privacy—combining technical expertise, business acumen, and leadership to deliver meaningful value.

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 (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.
• Bachelor’s degree in data science, Statistics, Computer Science, Business Administration, or a related field.

Nice To Haves

• Master’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.
• 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.

Responsibilities

• 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).

Benefits

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical 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 bachelor’s degree.

What This Job Offers

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