R&D Data Management Lead – Healthcare

ManpowerGroup Global, Inc.; Little Canada (MN); Hybrid; USD 74,000 - 91,000; Part time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

401(k), Plus Match

Weekly Pay

Job summary

ManpowerGroup Global, Inc. is seeking a Data Engineer for a 12-month contract in Little Canada, MN. The role involves leading data operations across clinical, imaging, and outcomes datasets, ensuring secure, scalable data use within the product development lifecycle.

You will partner with R&D engineers, clinical teams, IT, cloud platforms, and external vendors to guarantee data readiness, quality, and governance, shaping AI/ML workflows and data models for cardiac mapping and related datasets.

Qualifications

• Bachelor's degree in CS, data engineering, IS, or related field.
• 5+ years in data management, data operations, or data engineering.
• Experience handling large, diverse datasets including clinical/imaging data.
• Knowledge of data governance, metadata management, and data quality.
• Experience with Azure, Databricks, or similar cloud environments.

Responsibilities

• Lead strategy, processes, and infrastructure for data use across product lifecycle.
• Oversee ingestion, transfer, cataloging, governance, quality, accessibility.
• Collaborate with R&D, clinical teams, IT, cloud, and vendors on data readiness.
• Design and maintain data architecture, metadata standards, and data models for cardiac mapping, imaging, clinical datasets.
• Implement tools and platforms for data cataloging, lineage, version control, and AI/ML workflows.

Skills

Data management

Data engineering

Leadership

Cloud platforms

Education

Bachelor's degree

Tools

Azure

Databricks

Job description

ManpowerGroup Global, Inc. is seeking a Data Engineer for a 12-month contract in Little Canada, MN. The role involves leading data operations across clinical, imaging, and outcomes datasets, ensuring secure, scalable data use within the product development lifecycle.

You will partner with R&D engineers, clinical teams, IT, cloud platforms, and external vendors to guarantee data readiness, quality, and governance, shaping AI/ML workflows and data models for cardiac mapping and related datasets.