Lead Analyst, Data Product

About the role

Johnson & Johnson is hiring a Lead Analyst, Data Product in Bogotá, Colombia, within its Data Analytics and Computational Sciences function (Business Intelligence). The role owns stakeholder relationships and the lifecycle of assigned MedTech supply chain data products, turning end-user needs into governed data models and measurable business outcomes. It combines product judgment, data fluency, governance execution and cross-functional leadership.

Key responsibilities

• Discover and prioritize business problems, workflows, use cases and outcomes through stakeholder workshops and interviews.
• Translate prioritized use cases into a product charter with scope, success measures, acceptance criteria, requirements, source systems, owners and dependencies.
• Own data products from discovery through deployment, marketplace publication, adoption and enhancement, keeping the roadmap, backlog, readiness evidence, metadata record, adoption plan and performance scorecard.
• Lead domain-aligned data product squads and align stakeholders, data stewards, data modelers, architects, engineers, platform teams and delivery partners.
• Establish governance: ownership, business definitions, metadata, data-quality requirements, semantic standards and reusable data models.
• Coordinate delivery handoffs, resolve issues, escalate risks and dependencies, and prepare products for certification, publication and onboarding.
• Represent products in governance forums, monitor adoption and value, and report progress, risks and outcomes.

Required profile

• 5+ years of experience in data product management, product management, business analysis, data and analytics delivery or a related role, including leading complex data or analytics initiatives.
• Strong product judgment and ability to uncover requirements from business experts and influence stakeholders in a matrixed environment.
• Experience with supply chain domains (planning, sourcing and procurement, manufacturing, logistics, distribution, order fulfilment).
• Experience in MedTech, pharmaceutical, healthcare or another regulated industry, and with globally distributed teams, is preferred.
• Role requires full onsite attendance; up to 10% domestic and/or international travel may be needed.

Required skills

• Requirements, source systems, data modeling, governance, data quality, integration and data consumption.
• Familiarity with enterprise data platforms, data marketplaces, data mesh or domain-oriented models, metadata, lineage, business glossaries, stewardship and data-quality rules.
• Experience with governance platforms such as Alation is an asset.