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Data Engineering Technical Lead/Liaison, Quality AI & Data Science - Minneapolis, MN

Medtronic

$140,800 - $211,200
Sep 6, 2025
Mounds View, MN, US
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Medtronic is looking to support AI Engineers and Business Process Stakeholders in creating and delivering new solutions, measuring value, and driving strategic vision within Core Quality Services.

Requirements

  • Experience creating no-code AI models and implementing them broadly to other users with high adoption.
  • Proven program management skills, including milestone tracking, process improvement, and AI/ML performance monitoring.
  • Background in Lean Six Sigma or similar methodologies, with the ability to align technical solutions to business needs.

Responsibilities

  • PBI support to maintain dashboard and maintenance on ML models
  • Leading and performing quality assurance documentation, testing, routine, approving
  • Driving and supporting audit readiness of quality assurance processes related to ML and AI, along with representing processes in front room
  • Perform low-code or prompt development for business processes
  • Create financial business cases and manage and track program costs and savings
  • IT liaison to ensure access, tickets, are progressing as needed
  • Works closely with cross-functional teams to evaluate, develop and manage the design and construction of engineering projects to ensure delivery of a product or computer-based system through the design process, and into a finished state for external customers.

Other

  • This role requires on-site work at a Medtronic facility four days per week.
  • Responsible for planning, initiating, monitoring, tracking and/or prioritizing engineering team's product development programs or projects and facilitating successful, on-time and within budget execution.
  • Sets clear direction and management that aligns with defined practices and policies.
  • Directs day to day activities for multiple work-stream teams through managing project plans, resourcing, status reporting, resolving issues, identifying project risks and accountability for deliverables across multiple functional organizations.
  • Responsible for project performance, risk management, administration, financial management, budgeting, capital planning, forecasting and issue resolution.
  • Excellent verbal and written communication skills.
  • Experience transforming business processes, namely in complaint handling, change control, and CAPA.