Chief Data & AI Officer, MD
About the role
FHLBank San Francisco is seeking a Chief Data & AI Officer to serve as the enterprise-level owner of data strategy, data governance, AI enablement, and intelligent automation. This is a newly elevated, permanent role reporting directly to the CIO.
Key Responsibilities
Define and execute the enterprise data strategy aligned to the board-approved 2026–2028 technology strategy.
Establish data as a governed, trusted enterprise asset — owned at the enterprise level, not embedded within individual delivery teams.
Build and mature a data governance framework including data quality standards, metadata management, data lineage, and ownership accountability.
Own data quality controls and ensure data integrity across all enterprise systems including Calypso, Oracle Financial DataMarts, Workday, and Salesforce.
Serve as the primary point of accountability for data governance in FHFA examinations and internal audit reviews.
Define and enforce data classification, retention, and privacy policies in partnership with the CISO and Legal.
Own the enterprise AI enablement strategy — Copilot adoption, use-case prioritization, AI governance guardrails, and responsible AI practices.
Lead the AI Center of Excellence (CoE) function, partnering with the AI CoE Lead to drive business adoption across all 12 business units.
Govern the bank’s AI usage framework: approved models, data handling requirements, access controls, and audit trails.
Partner with key stakeholders on enterprise AI roadmap alignment and guardrail enforcement.
Build the AI maturity model for the bank — from pilots to production-grade systems — with clear governance gates at each stage.
Represent the bank’s AI strategy to the board, executive leadership, and external regulators.
Oversee data architecture, data engineering, ETL pipelines, and data integration across all enterprise platforms.
Own the enterprise data lake strategy and the Financial DataMarts supporting credit, capital markets, and member analytics.
Partner with the Head of Enterprise Architecture to ensure data architecture standards are enforced across all technology initiatives.
Direct the intelligent automation and RPA capability — ensuring automation investments deliver measurable business value.
Lead and develop a high-performing team including data architects, data engineers, AI engineers, AI enablement leads, and automation engineers.
Build the talent pipeline and capability roadmap for the data and AI function.
Operate as a peer and partner to the Head of Enterprise Architecture, Head of Operational Excellence, and SVP of Digital & Product Engineering.
Present data and AI strategy, governance status, and risk posture to the Board of Directors and Technology & Operations Committee.
Serve as the primary technology leader in FHFA data-related examinations.
Partner with the CFO, CRO, and Chief Compliance Officer on data-driven risk management and regulatory reporting.
Represent the bank in external forums, industry groups, and peer networks on data and AI topics.
Experience Required
15+ years of progressive technology leadership, with at least 5 years in a senior data or AI leadership role (CDAO, CDO, VP of Data, or equivalent).
Demonstrated experience operating in a regulated financial institution — banking, insurance, capital markets, or financial services required.
Proven track record building and scaling data engineering and AI/ML platform capabilities in production environments.
Experience presenting to boards of directors and engaging with financial regulators (OCC, FDIC, FHFA, or equivalent).
Technical Deep expertise in data architecture, data modeling, ETL/ELT pipeline design, and data lake/data warehouse strategy.
Working knowledge of enterprise AI/ML frameworks, LLM-based tools (Microsoft Copilot, OpenAI, or equivalent), and AI governance frameworks.
Familiarity with cloud data platforms (AWS preferred) and enterprise platforms (Oracle, Workday, Salesforce, ServiceNow).
Understanding of data privacy regulations (CCPA, applicable federal regulations) and data classification frameworks.
Experience with intelligent automation and RPA platforms (UiPath or equivalent).
Leadership Demonstrated ability to build, inspire, and develop a multi-disciplinary technical team.
Strong executive communication skills — able to translate complex data and AI concepts for board-level, regulatory, and business partner audiences.
Proven ability to build trust with business partners and convert data skeptics into data advocates.
Preferred Qualifications
Experience at a Federal Home Loan Bank, GSE, or similar federally regulated financial institution.
Familiarity with FHFA examination processes and regulatory expectations around data management.
Experience with Calypso, Oracle Financial DataMarts, or similar capital markets/treasury platforms.
Advanced degree in Computer Science, Information Systems, Data Science, or related field.
Experience building or scaling an AI Center of Excellence within a financial institution.
Published thought leadership or speaking experience in data strategy or AI governance.
Salary Range
$260k to $290k