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Principal Technical Program Manager

Microsoft
Redmond, USA
Full-time
Senior · 12+ years experience
Onsite
Discovered 3 days ago

Full Job Posting

Define the strategy, program architecture, goals, success criteria, and multi-semester roadmap for large, complex trust, security, compliance, and AI-accelerating automation programs. Translate security, regulatory, quality, privacy, resilience, and responsible AI obligations into clear engineering requirements, prioritized backlogs, implementation plans, and accountable operating rhythms. Lead end-to-end execution across multiple feature areas and organizations, including dependency management, schedules, pilots, staged rollouts, governance, risk mitigation, and executive escalation. Partner with engineering and subject-matter experts to design scalable technical solutions, validate use cases, identify gaps, and make data-informed recommendations under ambiguity. Establish metrics and telemetry that measure adoption, remediation effectiveness, engineering toil, regression, reliability, and business impact; use insights to drive continuous improvement. Drive critical governed-program execution by tracking progress, resolving systemic blockers, improving accountability, and sustaining performance against defined targets. Lead the development and adoption of agentic tools, skills, automation frameworks, and AI-ready guidance that simplify or automate compliance and security remediation. Create repeatable playbooks, onboarding guides, training, communications, and support models that enable engineering teams and champions to adopt new processes and tools with minimal friction. Build strong cross-organizational partnerships across product, engineering, security, compliance, legal, operations, and platform teams; influence decisions and secure alignment without relying on direct authority. Communicate program status, decisions, risks, tradeoffs, outcomes, and asks to executives and broad stakeholder audiences through concise written updates, reviews, and operating forums. Triage emerging issues, analyze technical and process failures, coordinate owners, and drive problems through resolution while identifying durable fixes that prevent recurrence. Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 5+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Demonstrated experience translating ambiguous business, security, compliance, or regulatory needs into clear technical requirements, roadmaps, success criteria, and execution plans. Experience leading programs across security, compliance, privacy, risk, reliability, quality, responsible AI, or other trust-related engineering domains. Experience defining and using metrics, dashboards, telemetry, or analytical queries to assess program health, prioritize work, identify systemic issues, and guide executive decisions. Proven ability to influence engineering and business leaders, drive accountability, resolve conflicts, and align teams across organizational boundaries without direct authority. Solid written and verbal communication skills, including experience producing executive-ready plans, requirements, decision documents, status updates, and technical guidance. Working knowledge of modern software engineering lifecycles, cloud services, source control, issue tracking, operational readiness, and secure development practices. Ability to manage multiple high-priority programs simultaneously, make sound decisions with incomplete information, and move between strategic planning and tactical execution. Experience designing or operationalizing AI agents, copilots, automation frameworks, evaluation systems, or telemetry for AI-assisted engineering workflows. Experience reading code, reviewing technical designs, partnering on architecture, or creating technical demonstrations and implementation guidance. Subject-matter expertise in one or more areas such as security operations, vulnerability management, compliance engineering, cloud governance, responsible AI, privacy, resilience, or regulated and sovereign cloud environments. Experience building scalable operating models, governed programs, playbooks, champion communities, training programs, or organizational change and adoption strategies. Advanced analytical capability using Kusto Query Language, SQL, Power BI, or comparable tools to create actionable program insights and automated reporting. Track record of influencing senior leadership, shaping investment priorities, securing cross-team commitments, and delivering durable outcomes in a highly matrixed organization.

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