Mountain View, United States; Redmond, United States
Full job description
The AI Monetization Product Team at Microsoft is seeking a Senior Product Manager for Reporting & Data Platform to lead product direction for data and reporting capabilities supporting monetization decisions. The role involves owning the roadmap and delivery of data-platform capabilities, partnering with cross-functional teams to translate business needs into data products, defining canonical business metrics and reusable data assets, enabling platform extensibility, and working with engineering on data infrastructure requirements. Candidates should have a Bachelor's degree with 5+ years of relevant experience, strong product management skills, technical fluency in modern data infrastructure, and experience with reporting and analytics. The position is full-time, on-site in Redmond, WA or Mountain View, CA, with a base pay range of $119,800 to $234,700 USD annually, higher in certain metro areas.
What you'll do
Own the roadmap and delivery of reporting and data-platform capabilities for Monetization teams
Define and execute product roadmap balancing immediate business needs with future investments
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Work with engineering and data teams on requirements for data ingestion, integration, modeling, quality, reliability, observability, governance, security, and cost efficiency
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Establish success measures for data quality, reporting reliability, platform adoption, time-to-insight, and reduction of manual reconciliation work
Requirements
Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
Preferred: Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
5+ years of product management experience with a track record of delivering complex, cross-functional products or platforms
Experience with reporting, analytics, business intelligence, data products, or data platforms
Technical fluency in modern data infrastructure including data pipelines, data modeling, warehouses or lakehouses, semantic models, APIs, and reporting tools
Ability to turn ambiguous customer or business needs into clear product requirements, roadmaps, and execution plans
Solid data sense and comfort with metric definitions, data quality, reconciliation, and operational realities of maintaining trusted business data
Experience influencing partners across engineering and business functions without direct authority
Tech stack
data pipelinesdata modelingdata warehouseslakehousessemantic modelsAPIsreporting tools
Benefits
Certain roles may be eligible for benefits and other compensation (details at https://careers.microsoft.com/us/en/us-corporate-pay)
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