Sr Manager, Data Engineering

Abbott • Madison, WI

6d

About The Position

The Senior Manager, Data Engineering leads the data engineering organization for an assigned business domain within Abbott Cancer Diagnostics. The role owns the domain’s strategy, integrated roadmap, delivery, stakeholder alignment, technical governance, and operating performance. It partners with business and technology leaders to deliver governed, reusable data products and integrations that support operational applications, analytics, semantic layers, machine learning, and AI. The position is based in Madison, Wisconsin, with remote eligibility in approved states.

The role leads, develops, and retains a domain data engineering organization, including Staff Engineers and contractor resources. It establishes clear goals, decision rights, performance expectations, development plans, and succession strategies, and ensures delivery from planning through production support. It also ensures alignment with shared enterprise platform capabilities and expectations for quality, reliability, security, privacy, observability, governance, access, and lifecycle management.

The Senior Manager builds relationships with senior business and technology leaders, communicates roadmap status, dependencies, risks, decisions, and tradeoffs, and represents the domain in platform, architecture, and technology-governance decisions. The position includes travel of 10% of the time and requires authorization to work in the United States without sponsorship.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or a high school diploma or GED 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.
• 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.
• 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.

Nice To Haves

• 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 sciences, diagnostics, healthcare, or clinical-laboratory environments.
• Experience leading delivery through a combination of internal teams and contractor-based delivery models.
• Experience applying data privacy, security, access governance, lineage, retention, and business-continuity practices.

Responsibilities

• Lead, develop, and retain a domain data engineering organization, including Staff Engineers and contractor resources; establish 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 manage priority, delivery, and technical-debt tradeoffs.
• Enable 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 and communicate roadmap status, dependencies, risks, decisions, and tradeoffs.
• Represent the domain in platform, architecture, and technology-governance decisions.
• Lead delivery across direct reports, contractors, and dependent or matrixed teams, including change, contractor, risk, and dependency management.

Benefits

• Career development with an international company.
• Employees can qualify for free medical coverage in the Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• Retirement savings plan with a high employer contribution.
• Tuition reimbursement.
• Freedom 2 Save student debt program.
• FreeU education benefit, an affordable and convenient path to earning a bachelor’s degree.

What This Job Offers

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