Microsoft

Microsoft

Principal Technical Program Manager- Responsible AI Compliance Lead

Redmond, WA, US · Principal

Sponsorship not specifiedDetected 1 day ago
Data AnalysisCompliance

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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Identify, assess, and coordinate mitigation of AI-related risks while strengthening the division's overall risk management posture and ensuring appropriate governance and accountability mechanisms are in place.
  • Establish scalable and durable controls, metrics, reporting and readiness programs to measure compliance health, program effectiveness, and organizational maturity.
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).

Responsibilities

  • Own and drive the Responsible AI program strategy, governance framework, and operating model across MSec.
  • Lead implementation and operationalization of RAIS (Responsible AI Standard) requirements through engineering systems, product development lifecycles, tooling, and business processes.
  • Lead MSec's response to AI-related audits, assessments, certification, and regulatory inquiries, including support for framework such as ISO/IEC 42001.
  • Demonstrate ability to influence strategic decisions, drive organizational change, and deliver results with enterprise-wide impacts.

Requirements

  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development 3+ years of experience managing cross-functional and/or cross-team projects.
  • Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 8+ years of experience managing cross-functional and/or cross-team projects.
  • Experience with Responsible AI, AI governance, AI safety, AI risk management, or trustworthy AI programs.

This listing is sourced directly from Microsoft's careers page and normalized into a canonical job model.