Data Governance and Stewardship Lead - JJMT Electrophysiology

Key Responsibilities

• Implement and operationalize data usage policies, access controls, and data stewardship requirements across data inventory assets.
• Design, implement, and continuously improve data governance programs, policies, and controls to ensure high-quality and compliant data access.
• Design and develop automation workflows that apply data access and usage policies to governed data holdings.
• Collaborate with business teams to embed data usage policies, standards, and controls across the enterprise data and technology landscape.
• Support trade studies and technical evaluations related to data governance tooling, operational models, and scalable governance implementation.
• Support maintenance of business glossary, data integration, data lineage, and broader data management activities.
• Partner with multi-functional teams to detail data sources, ownership, permitted uses, usage restrictions, and access requirements.
• Enable governed access to preclinical, clinical, and commercial data assets to support patient safety, product development, and operational decision-making.
• Co-lead the implementation of audit workflows to verify and validate data governance implementation.
• Co-lead the development of performance metrics to measure data utilization, compliance, data quality, and governance effectiveness.
• Support continuous improvement of governance practices, including issue identification, remediation tracking, and process optimization.
• Present regularly to internal and external partners on the status, risks, progress, and impact of data engineering and governance tasks.
• Coach more junior colleagues on governance processes, techniques, responsibilities, and operating expectations.

Qualifications

Education: Bachelor’s degree or equivalent experience in data science, Computer Science, Information Systems, Engineering, Life Sciences, Biomedical Engineering, or a related field.

Required

• At least 3 years experience within data governance in a highly regulated industry.
• Experience with data governance technologies used to support stewardship, data quality, lineage, and access management.
• Experience using cloud technologies to build, optimize, and govern data platforms, pipelines, and analytics environments.
• Ability to collaborate with business, technical, and compliance team members to translate governance requirements into scalable operational processes.
• Strong written and verbal communication skills, including the ability to present technical concepts to multi-functional customers.

Preferred

• Experience in MedTech, healthcare, life sciences, clinical research, medical safety, quality, regulatory, or product development environments.
• Familiarity with clinical, preclinical, post-market surveillance, electrophysiology, IDE, commercial, or product lifecycle data assets.
• Experience implementing data governance frameworks in regulated or compliance-driven environments.
• Experience supporting audit workflows, validation and verification mechanisms, governance metrics, or compliance monitoring processes.
• Familiarity with data catalog, metadata management, data quality, access management, workflow automation, dashboarding, or analytics platforms.
• Ability to partner with IT and data engineering teams to implement governance workflows in enterprise data platforms or cloud-enabled analytics ecosystems.
• Experience supporting AI/ML, digital health, or sophisticated analytics use cases through strong data governance, data quality, and data access controls.