Sr. Program Manager - Data Science Integration at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

203600.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Data Science, Supply Chain, Business Operations, Engineering, Data Analytics, Process Optimization, Cross-Functional Integration, Executive Communication, Risk Management, Continuous Improvement, Governance Models, Metrics, Reporting Mechanisms, Collaboration, Problem Framing, Model Deployment

Industry

Software Development

Description

Overview Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries. Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Project Intake, Prioritization, and Resource Alignment Integrate Data Science project intake and prioritization processes into enterprise governance. Ensure incoming requests are evaluated, sequenced, and resourced based on business priorities. Coordinate alignment across Business Operations, Transformation PM teams, and Data Science stakeholders. • Business Requirements & Scoping Lead the initial assessment of new business inquiries by defining the problem, expected outcomes, success measures, and priority. Facilitate early discussions with Data Science partners to evaluate feasibility and clarify requirements needed for downstream planning and resourcing. • Data Science Work Enablement & Platform Development Partner with Data Science, Engineering, Data Analytics, and Transformation PM teams to enhance systems, tooling, and data pipelines that support the end‑to‑end Data Science lifecycle, including data acquisition, experimentation, and model deployment. • Process Optimization & Cross‑Functional Integration Evaluate and improve Data Science operating processes to ensure alignment with Business Operations workflows. Strengthen intake readiness, integration points, and responsiveness to evolving business needs. • Executive & Stakeholder Communication Manage communication rhythms, including roadmap updates, progress reviews, risks, and impact summaries. Provide regular updates to leadership to ensure visibility, alignment, and informed decision‑making. • Cross‑Functional Program Leadership Act as the connector between technical and business teams. Drive clarity, shared priorities, and execution alignment. Manage dependencies, risks, and deliverables across multiple workstreams. • Operational Excellence & Continuous Improvement Develop and refine governance models, metrics, and reporting mechanisms to monitor performance and identify areas for improvement. Support continuous enhancement of Data Science execution efficiency and throughput. Qualifications Required Qualifications: Master's Degree in Business, Project Management, Supply Chain, Computer Science, Management Information Systems, Engineering, or related field AND 4+ years experience in project management, operations, or engineering OR Bachelor's Degree in Business, Project Management, Supply Chain, Computer Science, Management Information Systems, Engineering, or related field AND 6+ years experience in project management, operations, or engineering OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred qualifications: 6+ years driving cross functional programs across Data Science, Engineering, and Business Operations. 6+ years leadership experience in Supply Chain • Experience collaborating closely with Data Science teams across the full model lifecycle, including problem framing, data acquisition, feature development, experimentation, and production deployment. Familiarity with common Data Science workflows, tools, and environments (e.g., Python‐based experimentation, ML pipelines, notebook workflows, feature stores). Proven executive communication skills for roadmaps, business reviews, and risk/impact storytelling. Ability to work in an ambiguous and fast-moving environment #CSCP #CSCPJobs Technical Solution Management IC5 - The typical base pay range for this role across the U.S. is USD $116,900 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $148,400 - $222,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves integrating Data Science project intake and prioritization processes into enterprise governance and managing communication rhythms with stakeholders. Additionally, it requires evaluating and improving Data Science operating processes to align with business workflows.