Microsoft Principal Program Manager 

United States, Washington 

137532475

Qualifications:

• Bachelor's Degree inData Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND6+ years experience in engineering, product/technical program management, data analysis, or product development

  • OR equivalent experience.

• 2+ years of hands on data science experience.
• 3+ years experience managing cross-functional and/or cross-team projects.

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:

The candidate will have experience (1) Data Science experience with HLS data (2) in at least one HLS industry segment (Provider or Life Sciences preferred), (3) working on engagements with large HLS customers, and (4) technical competence (preferably Microsoft).

• Data Science Experience with specific expertise in the HLS Provider and Life Sciences segments.
• Experience with Microsoft/Azure products and solutions, and technical knowledge regarding machine learning (including NLP) and foundation models.
• Capable of managing complex, cross-functional projects with focus on program strategy, implementation, maintaining RoB, and keeping day-to-day tasks aligned to Microsoft’s strategic goals.
• Motivated by business outcomes and data-driven decision making.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

As a key member of the SEPO Team, responsibilities of the Principal Program Manager will include:

• Be hands-on with customers and partners to ideate, possibly prototype AI solutions.
• Be customer-focusrf by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer organization/context, and serving as a trusted advisor.
• Communicate technical and strategic concepts in the AI and machine learning domain to a broad audience of technical and non-technical stakeholders/personas in the health and life sciences ecosystem.
• Specific to GenAI and ML, doing Industry and Research Knowledge / Opportunity Identification to track advances in HLS which includes working with research and product teams. Related to AI, Identify and articulate customer/partner needs, document requirements, establish priorities, refine strategy, and define product scope/feedback.
• Identify and collaborate with internal stakeholders and priority partners to support the hardening and adoption of Microsoft products, and how they can be utilized or advanced to solve for HLS industry use cases.
• Support data scientists, designers, engineers, user researchers and other SMEs who enable Engineering’s research, technical analysis, design, development, testing, implementation and deployment of Microsoft solutions.
• Achieve team goals by working with internal and external stakeholders to plan, scope and manage timeline driven considerations.

• Embody our and