Policy Lifecycle Management Lead, Operational Excellence

About the job

At Google we work hard to earn our users' trust every day. Trust and Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. The Operational Excellence (OpsEx) team is a critical pillar of our Trust and Safety Compute organization, enabling developer experience and platform safety through AI driven operations portfolio management.

As a Policy Lifecycle Management Lead in Google Play Trust and Safety Operational Excellence, you will lead the end-to-end governance, process framework, and operational execution of our policy lifecycle—from initial intake triggers through post-launch observability and tuning.

Partnering closely with Product Management (PM), Legal, Policy, Quality, and Operations teams, you will serve as the chief orchestrator translating regulatory mandates, product requests, threat escalations, and industry standards into rigorously validated, scalable operational workflows.

You will govern both qualitative and quantitative business ratification and lead executive decision gates (SteerCos) to ensure cross-functional alignment and operational readiness. You will guide executive decision-makers through complex policy design trade-offs, overseeing sandbox testing, red teaming, and quality enforcement frameworks prior to launch.

Combining strong business acumen, quantitative modeling (evaluating Cost of Google Services and Developer ROI), and executive presence, you will establish integrated launch workstreams and continuous real-time telemetry feedback loops that safeguard user trust and optimize developer experience.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $171000 - $247000 (USD) + 20% bonus target + equity + benefits

Learn more about

benefits at Google.

Responsibilities

• Evaluate, triage, and prioritize incoming requests while conducting qualitative and quantitative assessments to model business impact and return on investment.
• Orchestrate decision gates, drive cross-functional stakeholder alignment, define core strategies, and navigate design or legal trade-offs.
• Oversee pre-launch evaluations, sandbox testing, quality checks, and red teaming to ensure all success criteria are met prior to release.
• Drive executive-level reviews for final Go/No-Go decisions by presenting validation evidence and confirming operational readiness.
• Establish performance telemetry, monitor success metrics, and lead integrated cross-functional workstreams for continuous operational excellence.

Minimum qualifications:

• Bachelor's degree in Business, Economics, Statistics, Operations Research, Engineering, Public Policy, a related quantitative field, or equivalent practical experience.
• 10 years of experience in policy lifecycle management, operational governance, capacity/workforce planning, program management, or operational analytics.
• Experience developing quantitative business models (evaluating service costs, return on investment, and operational impacts) and querying operational data using SQL to drive efficiency improvements.
• Experience advising executive leadership across multi-site, cross-functional operations on policy trade-offs, governance frameworks, launch readiness, and AI-driven reporting analysis.

Preferred qualifications:

• Master's degree, MBA, or JD in a quantitative, analytical, business, or policy discipline.
• Experience in trust and safety, content moderation, policy development and enforcement, risk operations, or digital platform developer ecosystems.
• Experience modeling the workforce, headcount, developer ROI, and OpEx impacts of policy launches, regulatory mandates, AI, or automation transformations.
• Experience collaborating cross-functionally with PM, Legal, Policy, Quality, and Vendor/Operations teams on integrated launch workstreams and real-time post-launch telemetry.
• Demonstrated success designing end-to-end governance frameworks, sandbox testing/red-teaming protocols, and executive decision gates across global operations.