AI Governance Lead
First San Francisco Partners
| Company | First San Francisco Partners |
| Category | Data & Analytics |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 25 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
First San Francisco Partners (FSFP) is a leading business advisory and information management consultancy dedicated to helping organizations leverage their data to improve strategic decision-making, reduce risk, create operational efficiencies and fuel unprecedented business success. Our consulting services include data management, data governance, Collibra (data governance and data quality software) implementation/adoption, data architecture, data quality, master and reference data management, metadata management and data privacy.
Kelle O’Neal founded the company in 2007 and is its Chief Executive Officer. FSFP’s leading position and strong reputation in our industry is because of our experienced senior leaders and dedicated consultants, business analysts and sales, administrative and marketing staff.
FSFP serves clients throughout the U.S., including large consumer brands, notable financial institutions and other organizations who want to make their information (data) actionable.
FSFP’s culture is centered on teamwork and a shared passion for what we do. We believe in treating clients (and one another) with respect and delivering measurable results for clients. Our FIRST values (Focus, Integrity, Resourcefulness, Skillfulness and Teamwork) guide our interactions. AI Governance Lead
Contract (1099 / Corp-to-Corp) or Contract to Hire | Remote (Occasional Travel Possible) | $100/hr - $125/hr
About the Role
We are seeking an experienced governance leader to help regulated-industry clients define, refine and/or execute policy and accountability frameworks that govern how AI is used inside the enterprise. This role needs to determine how to establish policy and gain commitment on core AI related decisions such as: what the enterprise is willing to delegate to AI, who is accountable when AI acts, what standards AI implementations must meet, and how governance tenets support the safe adoption of AI.
AI Governance as a discipline is still emerging, therefore we are looking for a seasoned practitioner that has deep experience in adjacent categories - enterprise data governance, corporate governance, regulated-industry compliance, or similar. The Lead will work as part of a unified AI and Data Governance framework, partnering closely with a client’s existing Data Governance function and with a Data & AI Architect who owns the technical environment that implements components of the Governance Framework.
This is a high-visibility position embedded with VP and Director level stakeholders. The role is often responsible for leading the FSFP engagement team as well as the project itself.
Key Responsibilities
AI Governance:
Policy Authority for AI: Define what AI the enterprise will and will not use, on what basis, and under what conditions. Includes prohibited uses, permitted uses, and the criteria that distinguish them. Author policies where needed
Decision Rights for AI: Define what decisions the enterprise is willing to delegate to AI, where humans must remain in the loop, where humans review after the fact, and where AI can act autonomously. Establish how those lines are drawn, who has authority to redraw them and how they are tracked and measured.
AI Use Case Intake and Risk Classification: Establish the intake process for AI use cases, including AI impact assessments and risk classification, and match the level of oversight to the level of risk.
Accountability Framework: Establish who is accountable when AI acts, including model and use case owners in the business, independent risk and compliance review, and audit assurance. Map this to the client’s existing corporate accountability structures rather than bui
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