Sr Manager, Data Engineering

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 122,000 colleagues serve people in more than 160 countries.

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. 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 a high employer contribution. Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit, an affordable and convenient path to earning a bachelor’s 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 recognized as one of the best big companies to work for, as well as one of the best workplaces for diversity, working mothers, female executives, and scientists.

This position works out of our Madison, Wisconsin location in Abbott Cancer Diagnostics, with remote eligibility in approved states. Abbott Cancer Diagnostics division: As the Senior Manager, Data Engineering, you’ll lead the data engineering organization for an assigned business domain and own its strategy, integrated roadmap, delivery, stakeholder alignment, technical governance, and operating performance. You will partner with business and technology leaders to deliver governed, reusable data products and integrations that support operational applications, analytics, semantic layers, machine learning, and AI. What You’ll Work On Lead, develop, and retain a domain data engineering organization, including Staff Engineers and contractor resources, with clear goals, decision rights, performance expectations, development plans, and succession strategies. Own the domain data engineering strategy, priorities, integrated roadmap, delivery commitments, stakeholder outcomes, and operating performance from planning through production support. Ensure timely resolution of material technical decisions and own priority, delivery, and technical-debt tradeoffs, while enabling Staff Engineers to lead domain technical design and Principal Engineers to provide cross-domain standards and guidance. Ensure domain data products and integrations align with shared enterprise platform capabilities and meet expectations for data quality, reliability, security, privacy, observability, governance, access, and lifecycle management. Build transparent relationships with senior business and technology leaders, communicate roadmap status, dependencies, risks, decisions, and tradeoffs, and represent the domain in platform, architecture, and technology-governance decisions.

Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or a high school diploma or General Education Diploma and four years of relevant experience in lieu of a bachelor’s degree. Eight or more years of progressively responsible experience in data engineering, data platforms, technology delivery, or related leadership roles. Five or more years of direct people-leadership experience, including management of engineering staff. Demonstrated experience owning delivery, stakeholder outcomes, and operating performance for a data domain, platform, or program from planning through production support. Demonstrated technical depth sufficient to direct and evaluate data engineering work and make priority, delivery, and technical-debt tradeoffs involving data architecture, integration patterns, data models, and platform