Director, Analytics - CGM

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 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• 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 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

• A company recognized as a great place to work in dozens of countries around the world 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 a best place to work for diversity, working mothers, female executives, and scientists

The Opportunity

The Director, Analytics — CGM will build and lead the end-to-end analytics function for the Abbott Diabetes Care business, transforming complex data into actionable, predictive insights that drive strategy and execution across HCP, Marketing, Market Access, Government, and Health Systems channels. The leader will define the vision, standards, and governance for predictive analytics; lead and develop a high-performing team of analysts and data scientists; and craft compelling, insight-driven narratives for senior leadership—up to and including the CEO—to influence strategic decisions and business outcomes.

What You’ll Work On

Analytics Strategy & Execution

• Design, implement, and mature analytics function, turning raw data into insights that improve commercial performance and margin across all channels.

• Drive business impact by developing predictive models that uncover performance drivers, diagnose variance from expected outcomes, and deliver actionable solutions—enhancing adoption, adherence, campaign effectiveness, payer access, and health-system performance in collaboration with channel partners.

• Partner with CGM business leaders to prioritize a portfolio of analytics programs; define objectives, milestones, resourcing, dependencies, and risk mitigations; and report progress toward plan.

• Continuously scan and integrate industry methodologies and tools to strengthen analytics capabilities and support digital transformation.

• Executive Storytelling & Change Influence

• Synthesize complex analytics into simple, executive-ready narratives with clear options, implications, and actions; regularly present to the executive leadership team and CEO.

• Communicate and manage change across functions; champion a high-performing, accountable, and innovative culture.
   

People Leadership (5 FTEs)

• Set expectations, coach, and develop a diverse team (data science and analysts) and hold managers accountable for delivery; drive succession planning and talent reviews.

• Promote innovation and calculated risk-taking; reward those who challenge the status quo to accelerate results.

Leadership Competencies

• Deliver Results: Plan & prioritize; manage complexity/ambiguity; hold self and others accountable to aggressive goals and outcomes.

• Set Vision & Strategy: Champion CGM analytics vision; translate corporate priorities into sub-functional strategies and measurable plans.

• Anticipate: Navigate market, regulatory, and organizational shifts; establish contingency plans; keep teams productive through ambiguity.

• Innovate: Put in place processes and environment to experiment, learn, and scale new approaches; support and reward innovation.

• Build: Coach managers; develop teams; ensure succession for critical roles; close capability gaps aligned to near- and long-term goals.

Qualifications

Education

• Master’s degree preferred (e.g., Business, Computer Science, Statistics, Mathematics, Data Analytics, Data Science, Physics, Engineering or similar).

Experience

• 15+ years overall experience; life sciences or healthcare experience preferred.

• Proven leadership across analytics, data science, deep expertise in data visualization, predictive modeling,