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Microsoft

Builds workplace software, PCs and cloud services

Principal Technical Program Manager

Program ManagementPosted on Nov 11
Full-timeRedmond, WA, USA$165.6k - $331.2k /yrIn-person

About the Job

Requirements

  • A bachelor's degree and 8 or more years of experience in engineering, product or technical program management, data analysis, or product development, or equivalent experience.
  • At least 6 years of experience managing cross-functional and/or cross-team projects.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
  • U.S. citizenship is required and will be verified via a valid passport due to citizenship-based legal restrictions.
  • At least 3 years of hands-on coding experience in Python, C#, or a similar language, building data pipelines, automation, or analytical prototypes, and ability to read and review code with data and software engineering partners.
  • At least 5 years of hands-on experience with Structured Query Language (SQL), including complex joins, window functions, and performance tuning on large-scale datasets.
  • Strong knowledge of data modeling, including dimensional modeling, star and snowflake schemas, normalized models, and slowly changing dimensions.
  • Strong knowledge of data warehousing and lakehouse concepts, including ETL/ELT design, data lineage, data quality, and data governance.
  • Experience with cloud infrastructure, particularly datacenter capacity planning, delivery, or operations.
  • Strong executive communication and presentation skills, with the ability to communicate clearly at every organizational level.
  • Ability to influence without authority, manage multiple stakeholders and workstreams, and push back when needed.
  • Experience driving accountability across time zones and geographies in a highly matrixed environment.
  • Comfort with ambiguity and ability to use data to influence decisions.
  • Skill in translating processes and workflows into clear technical and business requirements.

Responsibilities

  • Own and drive the ADS analytics roadmap, partnering with IPE leadership, Regional End-to-End Delivery, and AI Delivery to translate business priorities into a prioritized, multi-year plan for reports, dashboards, data products, and analytical models.
  • Serve as the primary business point of contact for engineering partners, translating process and workflow requirements into technical specifications, data contracts, and enterprise-grade solutions that scale with CO+I capacity growth.
  • Build strategic partnerships across engineering, analytics, and business groups, using a deep understanding of business needs and resources to define and recommend data requirements.
  • Lead end-to-end program execution across the business intelligence and data science sub-teams and partner data and software engineering teams, owning scope, schedules, dependencies, risks, and release plans.
  • Partner with data architecture to shape the team's data strategy, including canonical data models, source-of-truth definitions, and data quality standards for planning and execution data.
  • Apply and share deep expertise in the business data model, ensuring design specifications account for scalability in how data flows and is stored.
  • Establish and run intake, prioritization, and deployment processes for analytics requests and business intelligence releases, with clear primary and secondary ownership to eliminate single points of failure.
  • Lead executive communications, preparing business review and leadership content that turns complex analyses into clear, actionable narratives.
  • Deliver rapid, hands-on ad-hoc analysis for CO+I leadership, collaborating with cross-functional teams to provide timely insights.
  • Lead project-level root cause analysis of detected problems and anomalies, determine why alerts occur, and implement solutions that prevent recurring, cost-sensitive points of failure.
  • Identify opportunities to apply automation and artificial intelligence to analytics and reporting workflows, enabling the team to scale impact without scaling headcount.
  • Own cross-organizational user experience testing and feedback loops, driving engineering engagement to ensure solutions meet business requirements.
  • Define and track OKRs and KPIs for the analytics portfolio, including adoption, usage, data quality, and business impact.
  • Standardize and operationalize best practices across the global portfolio while accounting for regional differences in execution.

Desired Qualifications

  • Demonstrated track record of partnering closely with software and data engineering teams to take data platforms or analytics products from requirements to production, including authoring specifications, defining data contracts, participating in design reviews, and managing engineering backlogs.
  • Experience building and executing analytical roadmaps that balance strategic investments, technical debt, and urgent leadership requests.
  • Experience establishing intake, prioritization, and release governance for analytics solutions.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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