Lead, Data Product Management – Governance

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Marketing Job Sub Function: Product Management Job Category: Professional All Job Posting Locations: Bogotá, Distrito Capital, Colombia, São Paulo, Brazil Job Description: Summary The Lead, Data Product Management – Governance will drive the hands-on delivery, adoption, and governance of data products across Johnson & Johnson MedTech Digital Solutions. This individual ensures data products are well-defined, discoverable, trusted, and aligned with business priorities, enterprise data standards, and applicable regulatory expectations, while partnering closely with business owners, technology teams, governance partners, and data engineering. Duties & Responsibilities Implement and enforce data product governance, including ownership, stewardship, lifecycle controls, and metadata standards. Elicit, clarify, and prioritize business data requirements and translate them into clear acceptance criteria and product specs. Support implementation by working with data engineering to validate designs, transformations, pipelines, and SLAs. Maintain and improve the data catalog, business glossaries, and metadata so entries are consistent, discoverable, and consumer ready. Define, monitor, and manage data quality rules, coordinate issue triage, and drive remediation with owners and stewards. Coordinate with architecture, privacy, legal, regulatory, records management, and security to ensure compliant, scalable solutions. Create playbooks, runbooks, onboarding materials, and training to drive adoption and sustain repeatable operating processes. Act as a subject-matter expert and mentor to promote governance best practices and support data stewards. +++++++++++++++++++++++++++++++++++++ At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at https://www.jnj.com/ ( https://www.jnj.com/ The Lead, Data Product Management – Governance will support the delivery, adoption, and governance of data products across Johnson & Johnson MedTech Digital Solutions. This role will ensure data products are well-defined, discoverable, trusted, and aligned to business priorities, enterprise data standards, and applicable regulatory expectations. The position partners closely with business collaborators, data owners, technology teams, governance partners, and data engineering teams to translate business needs into clear data product requirements. This role will advance consistent data product practices, strengthen data transparency, and support balanced operating models enabling compliant, scalable, and business-relevant use of data. Key Role Responsibilities Data Product Governance: Execute and operationalize governance practices, including ownership/stewardship assignments, lifecycle controls, metadata standards, and enforcement of policies. Business Requirements & Product Enablement: Work with business stakeholders to gather, clarify, and prioritize data product requirements; translate outcomes into clear acceptance criteria and delivery-ready documentation. Implementation Support: Collaborate with data engineering to review designs, validate transforms, and ensure pipelines deliver to the agreed data contract, quality, and SLA. Catalog, Glossary & Metadata Management: Work with data stewards to maintain and improve business glossaries, data dictionaries, metadata standards, and ensure catalog entries are searchable, consistent, and consumer friendly. Data Quality & Stewardship: Coordinate with owners and stewards to define quality rules, implement automated checks, triage data issues, and drive remediation. Cross-functional P