R&D Data Operations Manager

The Fountain Group; Saint Paul (MN); On-site; USD 120,000 - 142,000; Full time

Job summary

The Fountain Group in Saint Paul, MN, is seeking a Database Architect to lead data strategy, architecture, and infrastructure for EP R&D data environments. You will design scalable data models across clinical, imaging, cardiac mapping, and time-series datasets, and oversee data governance, security, and lifecycle management.

Collaborating with R&D, AI/ML, IT/Cloud, clinicians, and external vendors, you will ensure data readiness, traceability and compliance with FDA, HIPAA, GDPR, and related

Qualifications

• 5+ years of experience in data management, data operations, data engineering, clinical data support, or related roles.
• Data architecture and management of large, diverse clinical, imaging, mapping, or time-series datasets.
• Data governance, metadata management, data cataloging, data quality, and lifecycle management.
• Azure, Databricks, or comparable cloud-based data platforms.
• SQL and Python or comparable scripting/programming experience.
• Clinical and field data acquisition, transfer, ingestion, validation, and traceability.
• Data versioning, lineage, reproducibility, and audit-readiness processes.
• Data privacy, security, access controls, retention, and regulated-industry compliance.
• Cross-functional data initiatives involving R&D, Clinical, Engineering, IT/Cloud, AI/ML, and external partners.

Responsibilities

• Lead data strategy, architecture, operations, and infrastructure.
• Design scalable data models and metadata standards for diverse datasets.
• Oversee data ingestion, cataloging, validation, and lifecycle management.
• Collaborate with R&D, AI/ML, IT, clinicians, and vendors.
• Establish governance, security, retention, and audit-ready processes.
• Support AI/ML dataset preparation, validation, and reproducibility.
• Manage data labeling vendors and external providers.

Skills

Data management

Data operations

Data engineering

Clinical data

Azure

Databricks

SQL

Python

Data governance

Data cataloging

Data privacy

Regulatory compliance

Education

Bachelor's degree in Computer Science

Tools

Azure

Databricks

Microsoft Purview

Collibra

Alation

Job description

Job Title: Database Architect
Location: St. Paul, MN
Pay Rate: $63/hr
Duration: 1 year

Job Description

• Lead data strategy, architecture, operations, and infrastructure for Electrophysiology (EP) R&D data environments.
• Design scalable data architectures, metadata standards, clinical dictionaries, and common data models for clinical, imaging, cardiac mapping, and time-series datasets.
• Oversee data acquisition, transfer, ingestion, validation, cataloging, lifecycle management, versioning, lineage, and dataset readiness.
• Partner with R&D engineering, AI/ML, Clinical, IT/Cloud, field teams, physicians, and external vendors to support data-driven product development.
• Establish data governance, quality, security, access controls, retention, traceability, and audit-ready processes.
• Support AI/ML dataset discovery, preparation, annotation, validation, reproducibility, and gold-standard dataset development.
• Manage data labeling vendors, external data providers, SOWs, deliverables, and quality expectations.
• Ensure data practices align with FDA, GxP, HIPAA, GDPR, and applicable AI/ML validation requirements.

Education

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, Health Informatics, Biomedical Engineering, or related discipline.

Required Skills

• 5+ years of experience in data management, data operations, data engineering, clinical data support, or related roles.
• Data architecture and management of large, diverse clinical, imaging, mapping, or time-series datasets.
• Data governance, metadata management, data cataloging, data quality, and lifecycle management.
• Azure, Databricks, or comparable cloud-based data platforms.
• SQL and Python or comparable scripting/programming experience.
• Clinical and field data acquisition, transfer, ingestion, validation, and traceability.
• Data versioning, lineage, reproducibility, and audit-readiness processes.
• Data privacy, security, access controls, retention, and regulated-industry compliance.
• Cross-functional data initiatives involving R&D, Clinical, Engineering, IT/Cloud, AI/ML, and external partners.

Preferred Skills

• Medical device, healthcare, life sciences, or regulated R&D experience.
• Electrophysiology, cardiac mapping, clinical imaging, or related clinical data domain experience.
• DICOM, HL7, and FHIR.
• AI/ML dataset preparation, annotation, validation, MLOps, or model governance.
• Microsoft Purview, Collibra, or Alation.
• FDA regulations, 21 CFR Part 11, GxP, HIPAA, and GDPR.
• Enterprise data platform modernization.
• External data provider, labeling vendor, or strategic data partnership management.