Lead Analyst, Data Product

About the role

The Lead Analyst, Data Product 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. The role combines product judgment, data fluency, governance execution and cross-functional leadership, and is based in Bogotá, Colombia.

Key responsibilities

• Discover and prioritize the business problems, workflows, use cases and outcomes that data products must support through stakeholder workshops and interviews.
• Translate prioritized use cases into a product charter with scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers and dependencies.
• Own data products across their lifecycle, 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 business stakeholders, data stewards, data modelers, architects, engineers, platform teams and delivery partners.
• Establish governance and readiness: ownership, business definitions, metadata, data-quality requirements, semantic standards and reusable data models validated against use cases.
• Coordinate delivery handoffs, resolve issues within the product team and escalate consumer-impacting risks, dependencies, funding needs, policy questions and cross-product trade-offs.
• Prepare products for certification, marketplace publication and consumer onboarding with documentation, support models, SLAs, approved metadata and consumer guidance.
• Represent products in governance forums, monitor adoption, usability, value, reuse, quality and feedback, 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 from discovery through delivery.
• Strong product judgment and the ability to uncover requirements from business subject-matter experts and challenge assumptions.
• Strong communication and translation skills across business and technical teams, able to influence stakeholders in a matrixed environment without direct authority.
• Experience supporting supply chain domains such as planning, sourcing and procurement, manufacturing, logistics, distribution or order fulfilment.
• Experience in MedTech, pharmaceutical, healthcare or another regulated industry, and with globally distributed teams including European or nearshore partners, is preferred.
• Role requires being fully onsite; up to 10% domestic and/or international travel may be required.

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.