Senior Manager, Data Engineering - Healthcare Data Leader

Abbott; United States; Hybrid; USD 129,000 - 259,000; Full time

Benefits offered by this job

Free HIP PPO medical coverage

Excellent retirement plan with high-em

Tuition reimbursement and FreeU教育

Job summary

Abbott is seeking a Senior Manager, Data Engineering in Madison, WI, with remote eligibility in approved states. You will lead a data engineering organization, drive the domain strategy, and deliver governed data products and integrations across analytics, ML, and AI.

You will partner with business and technology leaders to ensure data quality, security, and lifecycle governance while aligning with enterprise platform capabilities.

Qualifications

• Bachelor’s degree or higher in a related field or four years of relevant experience in lieu of a degree.
• Eight+ years in data engineering, data platforms, technology delivery, or related leadership roles.
• Five+ years of direct people-leadership experience managing engineering staff.
• Experience owning delivery and operating performance for a data domain or program.
• Ability to lead delivery across direct reports, contractors, and matrixed teams.

Responsibilities

• Lead and develop a domain data engineering organization with clear goals and succession plans.
• Own the domain data engineering strategy, roadmap, and delivery commitments.
• Resolve material technical decisions and manage tradeoffs on delivery and debt.
• Ensure data products meet quality, security, privacy, governance, and lifecycle requirements.
• Represent the domain in platform architecture and governance decisions.

Skills

People leadership

Data engineering

Stakeholder management

Data governance

Regulated environment

Education

Bachelor’s degree in Computer Science/Information Systems/Business

Tools

Databricks

Kafka

AWS

Azure

Google Cloud Platform

Job description

Abbott is seeking a Senior Manager, Data Engineering in Madison, WI, with remote eligibility in approved states. You will lead a data engineering organization, drive the domain strategy, and deliver governed data products and integrations across analytics, ML, and AI.

You will partner with business and technology leaders to ensure data quality, security, and lifecycle governance while aligning with enterprise platform capabilities.