Senior Manager, Data & 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 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

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

This position works out of our Chicago location in the Corporate Strategy & Solutions organization. The CSS organization drives data-driven solutions and generates business value across the Corporate Functions. We leverage state-of-the-art technologies to build innovative applications that address complex health challenges and develop reliable, cost-effective tools.

As the Senior Manager, Data & Analytics, you’ll have the chance to support the Corporate FP&A, CFO & other Corporate Function teams by leveraging data to guide strategic decisions, enhance operations, gain competitive advantage, manage risks, and drive innovation. The successful candidate will ensure data integrity, security, and privacy, combining technical expertise, business acumen, and leadership to deliver significant value to the Corporate Functions. This position will oversee analytics efforts across the portfolio.

What You’ll Work On

• Lead and manage data analytics projects to support strategic decision-making for Corporate FP&A and CFO teams.

• Develop and implement data-driven strategies to improve operational efficiency and gain competitive advantage.

• Ensure the integrity, security, and privacy of data across all analytics initiatives.

• Collaborate with cross-functional teams to identify and address data needs and opportunities.

• Provide leadership and guidance to the analytics team, fostering a culture of innovation and continuous improvement.

• Utilize advanced analytics techniques to manage risks and drive business insights.

• Oversee the development and maintenance of data models, dashboards, and performance metrics.

• Stay current with industry trends and best practices in data analytics and apply them to enhance the Corporate Function’s capabilities.

• Develop and execute a comprehensive data analytics strategy aligned with the organization’s overall business goals.

• Identify key performance indicators (KPIs) and metrics to measure the success of strategic initiatives.

• Provide actionable insights and recommendations to senior leadership based on data analysis.

• Support the Corporate FP&A and CFO teams in making informed strategic decisions.

• Oversee analytics efforts across various projects and initiatives within the corporate functions portfolio.

• Ensure alignment of analytics projects with the organization’s strategic priorities.

• Utilize data analytics to identify potential risks and develop mitigation strategies.

• Monitor and report on risk factors that could impact strategic objectives.

• Foster a culture of innovation by encouraging the use of advanced analytics techniques and technologies.

• Continuously evaluate and improve data analytics processes and methodologies.

• Collaborate with cross-functional teams to ensure data analytics initiatives support broader business objectives.

• Communicate complex data insights