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AI Governance Lead

Firstsanfranciscopartners

Remote · USOther

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About this role

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 building a parallel one.

• Third-Party AI Position: Define how the enterprise governs third-party and vendor AI, including procurement criteria, vendor assessment standards, contractual terms, and ongoing review.

Collaboration and Stakeholder Management:

• Unified Operating Model with Data Governance: Build an integrated operating model with the client’s Data Governance function: one accountability structure, one place AI use cases get reviewed, one set of policies, and shared metadata. The goal is reinforcement, not a parallel program competing for the same stakeholders.

• Stakeholder Alignment: Serve as the primary governance advisor to VP- and Director-level stakeholders; translate strategic intent into actionable governance commitments. Manage alignment across data governance, AI engineering, legal, privacy, security, and business stakeholders, including senior leadership communication and the operation of governance forums.

• Engagement Leadership Lead the engagement team and own both the engagement roadmap and engagement deliverables from development to adoption. Own engagement planning, status, risks, and deliverables. Partner with the Data & AI Architect and the client’s teams to keep policy and technical tracks in sync.

Required Qualifications

• 8 to 12 years of progressive experience in enterprise data governance, model risk management, corporate governance, AI/ML lifecycle oversight, or a closely related governance, risk, or compliance discipline, with engagement or program leadership scope.

• Demonstrated experience setting policy and accountability frameworks at enterprise scale, not only operating frameworks set by others.

• Working knowledge of how authority, accountability, and decision rights are structured in large enterprises.

• Experience defining oversight structures with first-line ownership in the business, independent risk and compliance review, and audit assurance.

• Track record managing a cross-functional mix of stakeholders; governance, business, technical and functional.

• Strong executive communication. Able to engage senior stakeholders, frame trade-offs, and drive decisions.

• Comfort working embedded alongside an in-house client team, balancing facilitation with hands-on delivery.

• Bachelor’s degree in a relevant field (Infor

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