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Principal Product Manager

Microsoft·India·Onsite

Group Product ManagerEnterprise
Experience

8+ years

Employment

Full Time

Work mode

Onsite

Level

Group Product Manager

Location

India

Posted

1 month ago

About the role

Overview

Dynamics 365 and Power Platform depend on a core data platform that manages business data, transactions, security, extensibility, and application lifecycle at enterprise scale. As customers modernize their applications and adopt AI, the platform must keep data governed, available, and economically sustainable while supporting the controls expected of enterprise business systems.

We are looking for a Principal Product Manager to lead product strategy for the core data platform behind Microsoft business applications. You will own cross-platform governance policy, commercial trade-offs, and investment priorities across Dataverse and Finance and Operations data-platform capabilities, including data governance and lifecycle management, storage economics, integration, reliability, scale, and the partner ecosystem. You will also guide how supported interfaces and emerging agent integrations build on that foundation. The portfolio spans important Finance & Operations (F&O) scenarios and shared platform capabilities used across Dynamics 365 and Power Platform.

This Hyderabad-based role offers broad product ownership at an important point in the evolution of enterprise applications: shaping the data foundation used by business applications, analytics, and AI. You will work closely with engineering teams, Dynamics 365 and Power Platform product teams, Microsoft AI product groups, customers, and ecosystem partners, with regular exposure to senior leaders as you drive

What you'll do

  • 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 high-value business data scenarios and drive reusable platform capabilities.
  • Set product requirements for availability, performance, observability, compatibility, administrator control and task completion across enterprise application and AI scenarios.
  • Define how Dataverse, Finance & Operations and shared data-platform services work together across storage, integration, extensibility, application semantics and AI capabilities, with clear ownership boundaries.
  • Own cross-platform governance policy and data-lifecycle strategy across Dataverse and Finance & Operations, including policy-based retention, archiving, safe deletion and recoverability; align domain product leads on the policies that administrator controls and self-service workflows implement.
  • Shape storage economics and capacity-management strategy across the platform, including entitlement clarity, usage insights and predictable customer paths for 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 into core data-platform capabilities and supported AI scenarios.
  • Own commercial trade-offs and investment priorities for core platform capabilities, partnering with product economics and business-planning leaders on commercial models, pricing and packaging inputs, and evidence-based investment cases.
  • Lead ecosystem strategy across Dynamics 365 and Power Platform product teams, Microsoft AI groups, independent software vendors and systems integrators; translate commitments into reusable data-platform capabilities and a prioritized engineering roadmap.
  • Partner with domain product leads to connect core platform strategy with application-specific administration, migration, lifecycle, compliance readiness and customer outcomes, with particular attention to Finance & Operations scenarios.
  • Define and review the scorecard for platform adoption, reliability, storage efficiency, ecosystem usage, supported AI scenario success and paid growth; use evidence to guide investment and deprecation decisions.

What you'll bring

  • Bachelor's degree and 8+ years of experience in product, service or program management or software development, or equivalent experience.

Nice to have

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development, OR equivalent experience.
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
  • Experience leading product strategy for enterprise ERP, transaction platforms, developer platforms, or other mission-critical business systems.
  • Technical understanding of enterprise data platforms, including storage architecture, data lifecycle, integration, extensibility, reliability, and operations at scale.
  • 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.

Skills & keywords

EnterpriseGroup Product ManagerOnsiteProduct StrategyAnalyticsGrowthPricing

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