Senior Technical Program Manager - Finance Data & Experiences

Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work? 

The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business—and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn, taking ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence. 

At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency—and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence. 
 
As a Technical Program Manager, you will lead end-to-end program execution by translating business needs into actionable plans and driving the delivery of scalable, AI-powered solutions. You will manage roadmaps, risks, and stakeholder alignment; partner with engineering to integrate AI and data capabilities; and ensure high-quality, on-time delivery through strong governance, agile practices, and cross-functional collaboration. 

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. 

• Define AI program goals, success criteria, and performance metrics across products or functional areas, aligning with organizational strategy and stakeholder needs.
• Partner with cross-functional teams to design integrated, AI-driven solutions and architectures, ensuring alignment with technical and business objectives.
• Drive orchestration and integration for complex, cross-functional programs by building relationships and coordinating across teams and stakeholders.
• Ensure compliance with privacy, security, quality, safety, and legal standards across products and services.
• Collaborate on roadmaps and technical execution, incorporating AI-enabled features while maintaining quality, security, and responsible AI standards.
• Lead AI-driven analysis and experiments to understand customer needs, validate use cases, improve product performance, and deliver actionable insights.
• Engage stakeholders through technical advising, feedback sessions, sales enablement, and incident root-cause analysis to improve customer experience and drive continuous improvement. 

• Bachelor’s Degree AND 4+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 2+ years of experience managing cross-functional and/or cross-team projects.

Preferred Qualitications

• Bachelor's Degree AND 8+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 6+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading, analyzing, and writing code with AI.
• Experience in corporate finance or FP&A, operating as a trusted advisor between finance stakeholders and engineering teams with the ability to translate financial concepts into technical requirements without intermediaries.
• Experience creating wireframes, storyboards, or working prototypes using tools such as Figma and GitHub Copilot for stakeholder validation before engineering handoff.
• Experience documenting end-to-end data lineage, source system dependencies, and business logic transformations as part of structured engineering handoff artifacts.
• Experience developing and implementing AI-enabled solutions using tools such as Azure OpenAI, Cognitive Services, and machine learning models, including integrating these capabilities into programs to drive measurable business impact.