Sr Manager, Data Engineering

Abbott (abbottcareers2 board); Madison (WI); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Free medical coverage

Strong retirement plan

Tuition reimbursement

Career development

Global company recognition

Job summary

Abbott Cancer Diagnostics in Madison, Wisconsin, seeks a Senior Manager, Data Engineering to lead the domain's data engineering organization, shaping strategy, roadmap, and governance. You will collaborate with business and technology leaders to deliver governed data products and integrations supporting analytics and AI across the business.

The role requires 8+ years in data engineering leadership, strong stakeholder skills, and experience with modern platforms such as Databricks and cloud

Qualifications

• Bachelor's degree or higher in a related field or four years of relevant experience in lieu of a degree.
• Eight+ years of data engineering or related leadership experience.
• Five+ years of direct people leadership experience.
• Experience owning delivery and operating performance for a data domain or program.
• Experience with data architecture, integration patterns, and platform decisions.

Responsibilities

• Lead, develop, and retain a domain data engineering organization with clear goals and development plans.
• Own the domain data engineering strategy, roadmap, delivery commitments, and governance.
• Balance technical debt, priorities, and design standards across teams and domains.
• Ensure data products and integrations meet quality, security, and lifecycle requirements.
• Build relationships with senior leaders and represent the domain in governance decisions.

Skills

Data engineering leadership

Stakeholder alignment

Technical governance

Delivery planning

People leadership

Education

Bachelor's degree or equivalent

Tools

Databricks

Kafka

AWS

Azure

Google Cloud Platform

Job description

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.

JOB DESCRIPTION:

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.

The Opportunity:

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.

Required Qualifications

• 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 decisions.
• Demonstrated ability to lead delivery across direct reports, contractors, and dependent or matrixed teams, including change, contractor, risk, and dependency management.
• Experience operating in a regulated or highly controlled data environment and delivering stakeholder outcomes at the required quality and on schedule.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• Experience with modern data platforms such as Databricks, event-streaming architectures such as Kafka, and cloud data services in AWS, Azure, or Google Cloud Platform.
• Experience delivering governed data products and semantic capabilities that support analytics, machine learning, and AI use cases across commercial, financial, laboratory, clinical, operational, or customer-facing functions.
• Five or more years of experience in a regulated environment governed by standards or regulations such as SOX, HIPAA, CLIA, Good Clinical Practice, FDA, ISO 13485, or IEC 62304.
• Experience in life scie