AI Data Operations Manager – R&D & Clinical Data

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

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