Head of CDO AI Strategy, Enablement and Delivery

Wells Fargo is seeking a Head of AI Strategy, Enablement and Delivery for the Chief Data Office (CDO).

Responsibilities include:

• CDO AI Strategy: Define, publish, and continually refine the multi-year AI strategy and roadmap for the Chief Data Office, aligned to enterprise technology strategy, enterprise AI strategy, the Enterprise Data Strategy, and regulatory expectations.

• AI Enablement and Adoption: Build the enablement layer that allows lines of businesses to adopt AI on governed enterprise data, including reusable patterns, reference architectures, shared services, evaluation harnesses, and self-service tooling.

• AI Education and Adoption Series: Empower and equip CDO resources through an ongoing AI educational series that builds skills and confidence, improving adoption of AI tools across the data organization.

• Business Line Engagement: Engage executive sponsors, business unit leaders, and technology partners to identify and build high-impact AI opportunities, build consensus for investment, and drive literacy and change management that make adoption stick. Represents the Chief Data Office in enterprise investment and governance forums and builds consensus across peers without direct authority.

• Responsible AI: Align to enterprise standards for responsible AI, including model governance, bias mitigation, explainability, transparency, human oversight, and compliance with applicable regulatory requirements.

• Risk and Regulatory Interface: Partner with Model Risk Management, Technology Risk, Compliance, Legal, Privacy, and Cybersecurity so that AI solutions are designed for control effectiveness and audit sustainability; Serves as the accountable leader for AI within CDO, including control design, issue remediation, and regulatory and audit engagement. Serves as the primary liaison to regulatory bodies (e.g., OCC, FRB) and to internal audit on AI matters and chairs the Chief Data Office AI forum with risk and governance partners.

• AI Risk Policy Adherence: Ensure adherence to Technology, Data, and Model Risk policies for all AI-developed use cases, from design through deployment and ongoing monitoring.

• Delivery Excellence: Oversee end-to-end execution of AI initiatives from ideation through production, partnering with the aligned technology team to set priorities and ensure successful technology capability development and deployment. Holds direct accountability for the availability, resilience, performance, and unit cost of the enterprise AI services owned by the Chief Data Office, including shared services provided to CDO and Data Domains, operating to defined service-level objectives.

• Platform Partnership: Partner with data platform, infrastructure, and technology operations teams so that AI workloads are supported by governed data, appropriate compute, and repeatable deployment and monitoring practices.

• Agentic AI Solutions: Drive the delivery of agentic AI solutions to govern enterprise data at scale, automating metadata, lineage, classification, data quality detection, and policy compliance.

• Measurement and Reporting: Define the metrics, KPIs, and measurement frameworks that quantify AI business impact in revenue growth, cost reduction, and risk mitigation, and report results to the Chief Data Officer and senior governance committees.

• Vendor and Financial Stewardship: Own the financial plan for the function, including approval of build, buy and partner decisions within a delegated authority, management of headcount, vendor spend, and consumption-based technology cost, and management of strategic partner relationships with performance and risk discipline.

• AI Tools and Token Cost Management: Own the inventory and management of AI tools for the Chief Data Office, and effectively manage token consumption and cost for the CDO division, including coordinating token forecasts with CXO partners.

• Talent and Leadership: Build and lead a multi-layer organization of AI product managers, and enablement specialists; mentor emerging leaders and foster a culture of accountability, experimentation, and excellence. Lead multiple sub-functions and geographies, including strategic vendor teams, and own the organizational design, location strategy, and succession plan for the function.

Alignment to the Enterprise Data Strategy

This role supports all three pillars of the Enterprise Data Strategy, making AI a force multiplier within each:

• Comprehensive Enterprise Data Governance: Apply AI and agentic solutions to govern data at scale, and ensure that AI data is itself governed, with models, prompts, agents, and training data inventoried, owned, monitored, and evidenced to regulator-ready standards.

• Data Strategy and Simplified Data Environments: Use AI to accelerate simplification through automated code and pipeline conversion, schema mapping, redundancy detection, and rationalization analysis, and standardize on enterprise AI patterns and platforms designed for reuse.

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