Data Operations & R&D Data Management Manager

HireTalent - Staffing & Recruiting Firm; Saint Paul (MN); On-site; USD 110,000 - 150,000; Full time

Job summary

HireTalent is seeking a Data Operations & R&D Data Management Manager to lead data strategy, governance, and infrastructure supporting AI/ML studies on clinical and imaging datasets. Based in St Paul, MN, this role engages with Clinical, IT, AI/ML teams and external partners to ensure data readiness and compliance.

You will own ingestion, cataloging, governance, and quality, while partnering on Azure/Databricks platforms and overseeing labeling and validation activities within regulated

Qualifications

• Bachelor's degree in CS, Data Engineering, Health Informatics, or related field.
• 5+ years in data management/operations/engineering, ideally with clinical or regulated data.
• Hands-on SQL and Python scripting.
• Experience with data governance, metadata management, and cataloging.
• Cloud data platform experience (Azure, Databricks, or similar).

Responsibilities

• Own data ingestion, cataloging, governance, and quality across clinical/R&D datasets
• Partner with IT/Cloud teams on Azure/Databricks data infrastructure
• Support AI/ML teams with dataset readiness, labeling/annotation vendor oversight, and validation
• Ensure compliance with FDA, HIPAA, GDPR, and GxP data handling requirements
• Coordinate across R&D, Clinical, IT, AI/ML, and external partners

Skills

SQL

Python

Data governance

Metadata management

Cataloging

Education

Bachelor's degree in CS, Data Engineering, Health Informatics, or related field

Tools

Azure

Databricks

Job description

Data Operations & R&D Data Management Manager

Location: St Paul, MN

Duration: 12 Months + Possible Extension/ FTE

Job Description:

A medical technology R&D organization is seeking a Data Operations & R&D Data Management Manager to lead data strategy, governance, and infrastructure supporting AI/ML development on clinical, imaging, and mapping datasets.

What you'll do:

• Own data ingestion, cataloging, governance, and quality across clinical/R&D datasets
• Partner with IT/Cloud teams on Azure/Databricks data infrastructure
• Support AI/ML teams with dataset readiness, labeling/annotation vendor oversight, and validation
• Ensure compliance with FDA, HIPAA, GDPR, and GxP data handling requirements
• Coordinate across R&D, Clinical, IT, AI/ML, and external partners

Must-haves:

• Bachelors in CS, Data Engineering, Health Informatics, or related field
• 5+ years in data management/operations/engineering, ideally with clinical or regulated data
• Hands-on SQL + Python/scripting
• Experience with data governance, metadata management, and cataloging
• Cloud data platform experience (Azure, Databricks, or similar)