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Microsoft’s CELA Compliance & Ethics team is looking for a Technical Program Manager to drive mission-critical programs at the intersection of compliance, data engineering, and AI. You will own end-to-end delivery of technical programs that power Microsoft’s compliance investigations, fraud detection, risk analytics, and AI-assisted legal operations — working across data scientists, engineers, attorneys, and investigators to translate complex legal and regulatory requirements into scalable, secure, and impactful technology solutions. 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.
Job Responsibility:
Program Leadership & Delivery
AI & Data Platform Programs
Compliance & Security Governance
Stakeholder Management & Communication
Requirements:
Bachelor's Degree AND 4+ years 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
Nice to have:
Bachelor's Degree AND 8+ years experience 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 and/or writing code
4+ years managing cross-functional technical programs involving data platforms, analytics, or AI/ML systems
2+ years working in compliance, legal technology, risk management, or regulated environments
Ability to drive programs from ambiguity to delivery across engineering, data science, and business teams
Experience with cloud data platforms (Azure, Fabric, Databricks) and modern BI/analytics tools (Power BI)
Experience with AI/ML operationalization
Familiarity with graph analytics, knowledge graphs, or network analysis techniques
Experience with compliance frameworks (SOX, GDPR, CCPA, DMA, DSP) and investigation management platforms
Experience managing vendor relationships and multi-million-dollar program budgets
Background in fraud detection, AML, KYC, or financial compliance