Product Strategy Analyst, Data & Analytics

About the role

Mckesson Medical-Surgical is seeking a Product Strategy Analyst to support the development, optimization, and lifecycle management of data, analytics, automation, and AI-enabled products.

Responsibilities

• Partner with business stakeholders to identify opportunities for data, analytics, automation, and AI solutions.
• Contribute to business case development, product valuation, and prioritization efforts using value-versus-effort assessments.
• Support the development and execution of data product roadmaps aligned with business objectives and enterprise analytics strategy.
• Manage and improve data products throughout the product lifecycle, including ideation, planning, development, launch, adoption, optimization, and retirement.
• Collaborate with data engineers, data architects, developers, data scientists, and technology partners to support delivery of proof-of-concepts (POCs), pilot programs, and minimum viable products (MVPs).
• Define and track product success metrics, KPIs, adoption measures, and business outcomes.
• Analyze product performance and user feedback to identify enhancement opportunities and drive continuous improvement.
• Serve as a trusted resource on data products, analytics capabilities, and business value realization.

Requirements

• Bachelor's degree or equivalent experience.
• Typically requires 4+ years of relevant professional experience in product management, product strategy, business analytics, data analytics, technical product management, business intelligence, or related fields.
• Experience working with cross-functional teams to deliver data, analytics, technology, or business process solutions.
• Experience analyzing business requirements, identifying opportunities, and translating stakeholder needs into actionable product initiatives.
• Experience using data and metrics to evaluate product performance and business outcomes.

Preferred Skills/Experience

• Familiarity with artificial intelligence (AI), machine learning, generative AI, large language models (LLMs), and data science concepts.
• Experience in healthcare distribution, healthcare supply chain, manufacturing, or related industries preferred.