Senior Data Engineering Leader - Remote Eligible

Thornton Tomasetti; Madison (WI); On-site; USD 129,000 - 259,000; Full time

Benefits offered by this job

Remote eligibility in approved states

Job summary

Abbott Cancer Diagnostics in Madison, WI is seeking a Senior Manager, Data Engineering to lead the data engineering organization and own its strategy, roadmap, and governance. You will partner with business and technology leaders to deliver governed data products and integrations supporting analytics, machine learning, and AI.

You will oversee staff and contractors, drive delivery from planning through production support, and ensure data quality, security, and lifecycle management while aligning

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Business, or related field, or 4 years of relevant experience in lieu of a degree.
• 8+ years in data engineering, data platforms, or related leadership roles.
• 5+ years of direct people leadership, including engineering staff management.

Responsibilities

• Lead, develop, and retain a domain data engineering organization with clear goals and succession plans.
• Own the domain data engineering strategy, integrated roadmap, delivery commitments, and operating performance.
• Ensure data products and integrations meet data quality, security, privacy, observability, governance, and lifecycle requirements.

Skills

Data engineering leadership

Data platforms

Stakeholder management

Cloud data services

Education

Bachelor’s degree in CS/IS/Business or related

High school diploma + 4 years experience

Tools

Databricks

Kafka

AWS

Azure

GCP

Job description

Abbott Cancer Diagnostics in Madison, WI is seeking a Senior Manager, Data Engineering to lead the data engineering organization and own its strategy, roadmap, and governance. You will partner with business and technology leaders to deliver governed data products and integrations supporting analytics, machine learning, and AI.

You will oversee staff and contractors, drive delivery from planning through production support, and ensure data quality, security, and lifecycle management while aligning