Principal Product Manager, Dataverse

About the role

Own the product vision, strategy, and roadmap for the Business Applications core data platform, with clear priorities and measurable customer and business outcomes. Set modernization priorities for data-platform reliability, scalability, extensibility, and supported access patterns, including clear platform contracts and investment choices.

Use customer research, partner input, and product data to identify the highest-value business data scenarios, then drive reusable platform capabilities rather than one-off solutions. Set product requirements for availability, performance, observability, compatibility, administrator control, and task completion across enterprise application and AI scenarios.

Define how Dataverse, Finance and Operations, and shared data-platform services should work together, including where storage, integration, extensibility, application semantics, and AI capabilities should converge and where product boundaries should remain explicit.

Set the product strategy and external positioning for data governance and lifecycle management across the core platform, including policy-based retention, archiving, safe deletion, recoverability, and administrator tools that help customers manage data responsibly at scale.

Shape storage economics and capacity-management strategy across the platform, including entitlement clarity, usage insights, and predictable customer paths for addressing sustained overages; balance customer outcomes, platform cost, and sustainable growth.

Partner with security, trust, and governance leaders to incorporate identity, authorization, policy, audit, and compliance requirements into core data-platform capabilities and supported AI scenarios. Partner with product economics and business-planning leaders to develop commercial models, pricing and packaging inputs, and evidence-based investment cases for core platform capabilities.

Partner with domain product leads to connect core platform strategy with application-specific administration, migration, lifecycle, compliance readiness, and customer outcomes. Define and review the scorecard for platform adoption, reliability, storage efficiency, ecosystem usage, AI scenario success, and paid growth; use the evidence to guide investment and deprecation decisions.

Bachelor's Degree AND 8+ years experience in product/service/program management or software development These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.

Experience leading product strategy for enterprise ERP, transaction platforms, developer platforms, or other mission-critical business systems. Experience developing commercial models, ecosystem strategy, or partner programs for data or platform products. Experience with AI agents or comparable intelligent application patterns, including the product and safety considerations involved when software acts on structured business data.

Ability to lead across organizational boundaries and influence engineering, application, AI, finance, and business teams without direct authority. Ability to make sound product decisions and maintain momentum when requirements, ownership, or technical constraints are still being clarified.