AI and Data Governance Lead

Google; Chicago (IL); Hybrid; USD 230,000 - 320,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Google Finance's AI and Data Governance Lead role sits within the Finance Data and Analytics team, guiding a secure AI-enabled transition while preserving financial integrity and regulatory compliance.

You will manage a team of Data Governance professionals and work with Engineering to build scalable governance frameworks that empower Fin’oglers to innovate safely, while balancing risk and performance.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 14 years of experience in BI, analytics, or quantitative analysis.
• Experience building, developing and leading a team.
• Proficient in SQL and another programming language (R/Python/JS).
• Experience designing and operationalizing AI governance frameworks.
• Experience with AI technologies, LLMs, and agentic workflows.

Responsibilities

• Mitigate risks across reporting, privacy, legal, ethics, and efficiency; advise on AI limits and ensure training.
• Lead Finance AI governance reviews and act as execution branch for approvals.
• Ensure AI agents have audit trails and deterministic verification in financial reporting.
• Oversee registration of bespoke AI solutions and capture key details.
• Manage and mentor Data Governance team; partner with Engineering on scalable operating models.

Skills

Bachelor's degree in a quantitative/

14 years experience BI/analytics

Team leadership

SQL

Python/R/JavaScript

AI governance frameworks

AI/LMMs knowledge

Education

Bachelor's degree in a quantitative discipline

Tools

Oracle

Hyperion

BI platforms

Job description

AI and Data Governance Lead corporate_fare Google place Sunnyvale, CA, USA; Chicago, IL, USA info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Chicago, IL, USA.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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).

About the job

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.

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.