AI and Data Governance Lead

Google•Chicago, IL

19h•$230,000 - $320,000

About The Position

At Google, data drives all of our decision-making. As part of the Finance Business Intelligence team, you will use data to inform business and product decisions across the company. Using your technical skills, business acumen and creativity, you will build tools to automate reporting and generate insight that will allow clients to quickly and accurately see how our key business products and processes are performing. Previous experience managing finance systems projects, with emphasis on providing business intelligence and data driven insight through reporting, will have equipped you well for this role. You’ll be involved in projects from inception to delivery, ensuring that your reporting delivers high-quality and relevant data to intelligently grow our business. You will also have extensive knowledge of key financial systems, such as Oracle and Hyperion, and experience working with a range of other business intelligence tools and platforms. As an AI and Data Governance Manager within the Finance Data and Analytics team, you will be responsible for guiding Google Finance’s secure transition into an AI-enabled organization while maintaining absolute financial integrity, operational control, and regulatory compliance. Directly managing an established team of Data Governance professionals, you will serve as the dual steward of our legacy Finance Data Policy and our newly launched AI Governance Policy. As the principal subject matter expert for AI risk in Finance, you will operationalize the Finance AI and Data Governance Council intake and review process, the Agent Registry, and partner closely with Engineering to establish robust, scalable governance frameworks that empower Fin’ooglers to innovate safely and effectively. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $230000 - $320000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree in a quantitative discipline or equivalent practical experience.
14 years of experience in business intelligence, analytics, or quantitative analysis related fields.
Experience building, developing, and leading a team.
Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).
Experience in designing and operationalizing new AI policies and governance frameworks (e.g., EU AI Act, automated decision-making controls).
Experience working with AI technologies, LLMs, prompt engineering, and agentic workflows.

Nice To Haves

Experience managing small teams (e.g., Program Managers, Data Engineers).
Expertise in AI governance structures (RAG models, model drift tracking, regression testing).
Knowledge of data engineering concepts and database schemas, with the ability to partner across departments (such as Engineering).
Understanding of AI limitations (drift, hallucinations, mathematical inaccuracy).
Track record of guiding high-performing cross-functional teams in a fast-paced environment.
Ability to advise executive leadership (such as Chief Financial Officer/VP Finance).

Responsibilities

Mitigate risks across reporting, privacy, legal, ethics, and efficiency.
Central Finance AI governance expert; advises on limitations (bias, drift, hallucinations, deterministic variations) and enforces annual training.
Drive reviews for high-risk AI, operationalizes triggers for Finance AI and Data Governance Council approval, and acts as its execution branch.
Ensure qualifying AI agents maintain human-reviewable audit trails and deterministic verification to prevent "black box" automated decisions in financial reporting.
Oversee registration of bespoke, personal, and team-based AI solutions, ensuring key details are captured.
Manage and mentor the Data Governance team, aligning priorities with the evolving AI landscape.
Partner with Engineering to Co-develop operating models and scalable frameworks.