Owns stakeholder relationships and the lifecycle of assigned MedTech Supply Chain data products, translating end-user needs into useful, governed data models and measurable business outcomes.
Responsibilities
Discover and prioritize business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement, maintaining the roadmap, prioritized backlog, readiness evidence, metadata record, adoption plan, and performance scorecard.
Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities, responsibilities, decisions, and required artifacts and approvals.
Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.
Own stakeholder relationships and the lifecycle of assigned MedTech Supply Chain data products, translating end-user needs into useful, governed data models and measurable business outcomes.
Responsibilities
Discover and prioritize business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement, maintaining the roadmap, prioritized backlog, readiness evidence, metadata record, adoption plan, and performance scorecard.
Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities, responsibilities, decisions, and required artifacts and approvals.
Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.
Own stakeholder relationships and the lifecycle of assigned MedTech Supply Chain data products, translating end-user needs into useful, governed data models and measurable business outcomes.
Responsibilities
Discover and prioritize business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement, maintaining the roadmap, prioritized backlog, readiness evidence, metadata record, adoption plan, and performance scorecard.
Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities, responsibilities, decisions, and required artifacts and approvals.
Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.