R&D Data Operations Manager at The Fountain Group in St. Paul, MN

Job description

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

Responsibilities

• 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.

Requirements

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

Skills

Required

• Data architecture
• Data management
• Data operations
• Data engineering
• Clinical data support
• Data governance
• Metadata management
• Data cataloging
• Data quality
• Lifecycle management
• Azure
• Databricks

Preferred

• Medical device experience
• Healthcare experience
• Life sciences experience
• Regulated R&D experience
• Electrophysiology
• Cardiac mapping
• Clinical imaging
• DICOM