R&D Data Operations & AI Enablement Manager

EPITEC; Little Canada (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

EPITEC seeks a Data Operations & R&D Data Management Manager in Little Canada, MN to lead strategy, governance, and infrastructure for data across the product lifecycle.

You will oversee ingestion, transfer, cataloging, quality, and accessibility while partnering with R&D, Clinical, IT/Cloud, and external partners to enable secure, compliant AI/ML development and regulatory readiness.

Qualifications

• Bachelor's degree in a relevant field.
• 5+ years of experience in data management, data operations, data engineering, clinical data support, or related roles.
• Demonstrated experience managing large and diverse datasets, including clinical, imaging, mapping, or time-series data.
• Experience implementing data governance, metadata management, cataloging, and data quality processes.
• Experience coordinating data transfers, data lifecycle activities, or multi-stakeholder data initiatives.
• Knowledge of cloud-based data platforms such as Azure, Databricks, or comparable environments.
• Strong understanding of data privacy, security, compliance, and regulated industry requirements.
• Excellent communication, stakeholder management, and cross-functional leadership skills.
• Strong organizational, project management, and execution capabilities.
• Working knowledge of SQL and experience with scripting or programming languages such as Python.

Responsibilities

• Define and execute a roadmap for modernizing the data ecosystem.
• Design data architecture, metadata standards, clinical dictionaries, and common data models.
• Partner with IT, Cloud, and engineering to implement data infrastructure on Azure and Databricks.
• Evaluate and implement tools for data cataloging, governance, version control, lineage, labeling, storage, and AI/ML workflows.
• Ensure data systems support Windows and Linux development environments.
• Coordinate end-to-end acquisition, transfer, ingestion, validation, and management of datasets.
• Establish processes for data completeness, integrity, traceability, and accessibility.
• Collaborate with physicians, sites, field teams, and data owners on data collection.
• Manage data transfer activities, issue resolution, and stakeholder communications.
• Address data quality issues, ingestion failures, and standardization gaps with engineering/AI teams.
• Support dataset versioning, lineage tracking, reproducibility, and audit readiness for AI/ML.

Skills

SQL

Python

Data governance

Cross-functional leadership

Stakeholder management

Azure

Databricks

Data security

Communication

Project management

Education

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

Tools

Microsoft Purview

HL7

FHIR

DICOM

MLOps tooling

Job description

EPITEC seeks a Data Operations & R&D Data Management Manager in Little Canada, MN to lead strategy, governance, and infrastructure for data across the product lifecycle.

You will oversee ingestion, transfer, cataloging, quality, and accessibility while partnering with R&D, Clinical, IT/Cloud, and external partners to enable secure, compliant AI/ML development and regulatory readiness.