Senior Technical Program Management Lead, Trust Operations, Google Research

• Advocate for the trust roadmap and collaborate across Alphabet to ensure it remains current with long-term protection strategies and aligns with product area-level OKRs tied to velocity and global impact.
• Oversee Privacy and Security operational programs within the Google Research and Labs product areas, owning strategic outcomes and ensuring alignment with product area-level compliance posture.
• Lead efforts to grow and scale governance programs by advocating for and leveraging in-house AI technologies, automation, and tooling optimizations.
• Transform high-friction manual review gates into 'well-lit paths' and automated self-service guardrails that accelerate research velocity.
• Architect and continuously optimize a risk-tiered governance delivery model across FTEs, extended workforce (TVCs), and autonomous AI agents—defining risk routing logic, exception escalation thresholds, and automated QA/SLO telemetry.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• Experience with products that achieve privacy, security, and data protection compliance.
• Technical experience in AI/ML system lifecycles, automated evaluation pipelines, or technical control verification.
• Experience managing operational teams, vendor operations, or extended workforces (TVC).

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience developing and communicating operational metrics, trade-offs, and roadmaps to senior stakeholders.
• Experience leading programs focused on user-focused business process automation in a compliance, privacy, or security environment.
• Experience developing program roadmaps, establishing project goals, and managing resource allocations.
• Demonstrated ability to influence cross-functional technical teams, manage stakeholders, drive project alignment, and develop and scale operational programs using automated tooling, AI, or advanced analytics.

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• Experience with products that achieve privacy, security, and data protection compliance.
• Technical experience in AI/ML system lifecycles, automated evaluation pipelines, or technical control verification.
• Experience managing operational teams, vendor operations, or extended workforces (TVC).