Lead, Data Product Management - Governance

About the role

The Lead, Data Product Management - Governance drives the delivery, adoption and governance of data products across Johnson & Johnson MedTech Digital Solutions. The role ensures data products are well defined, discoverable, trusted and aligned with business priorities, enterprise data standards and regulatory expectations, working closely with business owners, technology teams, governance partners and data engineering. The position is based in Bogotá.

Key responsibilities

• Implement and enforce data product governance, including ownership and stewardship, lifecycle controls and metadata standards.
• Elicit, clarify and prioritize business data requirements and turn them into acceptance criteria and product specifications.
• Work with data engineering to validate designs, transformations, pipelines and SLAs.
• Maintain and improve the data catalog, business glossaries and metadata so they are consistent and discoverable.
• Define, monitor and manage data quality rules, coordinate issue triage and drive remediation.
• Partner with architecture, privacy, legal, regulatory, records management and security teams on compliant, scalable solutions.
• Create playbooks, runbooks, onboarding materials and training to drive adoption and repeatable processes.
• Act as subject-matter expert and mentor to data stewards.

Required profile

• Bachelor's degree or equivalent experience in Data Analytics, Information Systems, Business Administration, Computer Science, Engineering, Life Sciences or a related field; advanced degree preferred.
• Minimum 3 years of progressive experience in data product management, data governance, data stewardship, analytics, business analysis or enterprise data enablement.
• Preferred: experience in a regulated environment such as MedTech, healthcare or pharmaceuticals.
• Strong communicator, cross-functional influencer and mentor; able to drive outcomes without direct reports.
• Up to 10% travel may be required; the role is fully onsite.

Required skills

• Hands-on familiarity with data catalogs, metadata management, business glossaries, data quality tooling and requirements documentation.
• Preferred: experience with Alation, Collibra, Jira, Confluence, Power BI or similar platforms.