Product Strategy Analyst, Data & Analytics
$92,600–$154,400 year
On-siteRichmond, Virginia, United States
Job Summary
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. Support stakeholder communications, change management activities, training initiatives, and adoption strategies. Promote scalable analytics solutions and data literacy across the organization. Monitor industry trends, emerging technologies, artificial intelligence capabilities, and data analytics best practices to identify innovation opportunities. Serve as a trusted resource on data products, analytics capabilities, and business value realization.
Required Qualifications
- Bachelor's degree or equivalent experience
- 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
- Currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
Desired Qualifications
- 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
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