Principal Technical Program Manager

Microsoft•Redmond, WA

3d•$165,600 - $331,200

About The Position

Cloud Operations + Innovation (CO+I) develops, builds, and maintains Microsoft Cloud infrastructure, including infrastructure powering Microsoft AI services. The Analytics & Data Solutions (ADS) team within Infrastructure Planning & Execution (IPE) enables data-driven infrastructure delivery through analytics, automation, and AI-powered decision support. Its work supports predictable, scalable datacenter capacity and key objectives such as capacity delivery, milestone predictability, cycle time, and GPU delivery. The Principal Technical Program Manager serves as the connection point between business stakeholders, analytics teams, and partner engineering teams. This role owns the analytics roadmap, translates complex business needs into scalable data and analytics solutions, and advises CO+I leadership. The position leads cross-functional program execution, develops trusted data practices, and delivers executive communications and timely analysis to support planning and decision-making.

Requirements

Bachelor's degree and 8+ years of experience in engineering, product or technical program management, data analysis, or product development, or equivalent experience.
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 verification is required due to citizenship-based legal restrictions for work supporting certain U.S. government agency customers; verification is through a valid passport.

Nice To Haves

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 engineering partners.
5+ years of hands-on SQL experience, 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.
Demonstrated experience partnering with software and data engineering teams to bring 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.
Strong executive communication and presentation skills, with the ability to communicate clearly at every organizational level.
Proven 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 turn business priorities into a prioritized, multi-year plan for reports, dashboards, data products, and analytical models.
Serve as the primary business contact for engineering partners, translating process and workflow requirements into technical specifications, data contracts, and scalable enterprise solutions.
Build strategic partnerships across engineering, analytics, and business groups, and define and recommend data requirements based on business needs and resources.
Lead end-to-end program execution across business intelligence, data science, data engineering, and software engineering teams, managing scope, schedules, dependencies, risks, and release plans.
Partner with data architecture to shape data strategy, including canonical data models, source-of-truth definitions, and data quality standards for planning and execution data.
Apply and share expertise in the business data model, ensuring design specifications support scalable data flow and storage.
Establish and operate intake, prioritization, and deployment processes for analytics requests and BI releases, with primary and secondary ownership.
Prepare business review and leadership content that turns complex analyses into clear, actionable narratives.
Deliver rapid, hands-on ad-hoc analysis for CO+I leadership in collaboration with cross-functional teams.
Lead project-level root cause analysis of problems and anomalies, determine why alerts occur, and implement solutions to prevent recurring, cost-sensitive failures.
Identify opportunities to apply automation and AI to analytics and reporting workflows to scale impact without scaling headcount.
Own cross-organization user experience testing and feedback loops, engaging engineering to ensure solutions meet business requirements.
Define and track analytics portfolio OKRs and KPIs, including adoption, usage, data quality, and business impact.
Standardize and operationalize best practices across the global portfolio while accounting for regional execution differences.