AI Governance Analyst, Service Delivery, Trust and Safety · Google

As a part of the Service Delivery team, within Trust and Safety, you will focus on the strategy, governance, and optimization of a large global contingent workforce. As the landscape shifts, the team is driving the transition from traditional staff augmentation to innovative, managed services and hybrid workflows. You will partner with teams across Legal, Security, Engineering, and external Vendor partners to bring intelligent automation, AI-assisted workflows, and human expertise together to build operations. As a part of the Service Delivery team member, you will have the unique opportunity to design and implement some of the most technologically advanced and complex operations around the world.

As the AI Governance Specialist, you will report directly to the Transformation Governance Lead. You will act as the key execution engine driving T&S's contract modernization, intelligence and operational transition.

In this role, you will take on a highly dynamic, dual-nature scope: initially, you will lead the transition to Lighthouse and use of automation in the contracting space, consolidating and automating our transactional governance processes while leading the support for our legacy COMO contract estate. As this legacy footprint will decline over time, you will expand our future-state AI contracting framework, where you will design agile contract templates, output-based pricing models, and quality-focused Service Level Agreement (SLA) structures for next-generation AI suppliers.At Google we work hard to earn our users’ trust every day. Trust & 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. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €110000 - €112000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Oversee the COMO contract register, tracking renewal dates, obligations, compliance, and lead negotiations, resolve liabilities, flag and resolve restrictive clauses to AI transition.

Design, test, and iterate output-based contract templates for specialized AI services (e.g., gold-standard labeling, Human-in-the-Loop, LLM evaluation, and auto-rater oversight) to support rapid piloting and scaling.

Implement robust, contractually binding SLA frameworks utilizing technical parameters like precision, recall, data completeness, and annotation accuracy, and architect innovative commercial remedies, service credits, and penalties for quality failures in an AI context, shifting away from legacy headcount or volume-based SLA models.

Serve as the Service Delivery Buying Hub contact, ensuring all external contracts strictly adhere to BORM governance.

Partner with cross-functional stakeholders to create an internal vendor intelligence platform that centralizes and synthesizes supplier capabilities, increasing speed to contracting, helping future sourcing and pilot allocations.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.

5 years of experience in sourcing, contract management, vendor operations, or program management within a technical operations environment (e.g., BPO, AI, SaaS, or Trust and Safety).

Experience managing end-to-end vendor contract life-cycles, including the development of Master Service Agreements (MSAs), Statements of Work (SOWs), and Service Level Agreement (SLAs).

Experience leading operational system migrations or platform rollouts in a global environment.

Preferred qualifications:

Experience building internal databases or intelligence platforms to track supplier capabilities and performance.

Specific experience transitioning teams to platforms like Lighthouse or equivalent vendor management systems.

Conceptual understanding of the machine learning lifecycle, training data requirements, and metrics like precision, recall, and model drift.

Proven ability to build operational and commercial frameworks from scratch in areas with no pre-existing playbook.

Demonstrated success in shifting vendor models from traditional staff augmentation (T&M) to outcome-oriented, output-priced managed services.