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. The CDAO will build the data foundation that underpins the bank’s 2026–2028 technology strategy and will own the responsible adoption of AI across all business functions. This is a senior executive role with board visibility, regulatory accountability, and direct impact on the bank’s risk posture and competitive position.
• 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.
• 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.
• Experience leading enterprise data governance programs from design through BAU operation.
• 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).
• 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.
• Knowledge of intelligent automation and RPA platforms (UiPath or equivalent).
• 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.
• 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
The Federal Home Loan Bank of San Francisco is committed to the principles of equal opportunity in employment (e.g., employees, applicants) and in contracting (e.g., suppliers, vendors) regardless of race, color, religion, sex, national origin, disability status, genetic information, age, sexual orientation, gender identity, status as a parent, or any other characteristic protected by law. We are committed to cultivating a workplace free of unlawful discrimination, harassment, and retaliation, and are dedicated to fostering vibrant communities by serving as a reliable source of liquidity and resources for affordable housing and economic development.
Salary ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.
The Bank is committed to offering all team members challenging and engaging work with market competitive pay, retirement, and benefit offerings. In support of this commitment, the Bank routinely engages in market competitive benchmarking surveys and analysis to ensure our team members continue to be paid fairly and competitively.