Senior Lead Risk Analytics - AI Strategy, Data...

Wells Fargo is seeking a Sr. Lead Risk Analytics Consultant (Executive Director) - AI Strategy & Data Platform Enablement Lead to join IDeAS (Information Delivery and Analytics Solutions).

IDeAS designs, delivers, and governs the Risk Platform, enabling consistent, scalable analytics, risk oversight, and data-driven decisioning across the firm.

In this role, you will define and execute the AI-enabled strategy for the Enterprise Data Reporting Platform, embedding AI capabilities into data products, analytics workflows, and business processes. You will partner across business, technology, risk, and data teams to drive scalable, governed, and high-value AI adoption across banking use cases, with a strong focus on enterprise data strategy, platform governance, and measurable business impact. You will structure LLM inputs, govern outputs, structure the context layer, define evidence standards, and establish reusable patterns for AI-enabled research, data quality explanation, variance analysis, and self-service risk intelligence. The ideal candidate combines deep AI strategy expertise with prior experience in enterprise data, analytics, or reporting platforms and can translate business needs into scalable, governed AI capabilities.

In this role, you will:

AI & Data Strategy

• Define and drive the AI strategy and multi-year roadmap for the Data reporting platform.

• Identify required platform capabilities including LLM-enabled experiences, analytics automation, semantic access, intelligent data discovery, and decisioning frameworks.

• Partner with technology teams to influence platform architecture, scalability, operating model, and delivery priorities.

AI Enablement & Adoption

• Enable scale high-impact AI use cases across risk, analytics, and business domains.

• Define and drive how business users discover, access, and use AI capabilities through the analytics platform.

• Drive end-to-end execution from ideation to pilot, production deployment, user adoption, and benefits tracking.

• Communicate AI platform strategy, delivery status, risk considerations, and realized value to senior leadership.

• Influence roadmap tradeoffs and business priorities using a clear understanding of both AI implementation realities and banking controls.

Governance, Risk & Responsible AI

• Ensure AI capabilities align with data governance, model risk management, privacy, auditability, and regulatory expectations.

• Define guardrails for data access, sensitive information handling, AI-generated outputs, monitoring, logging, and human-in-the-loop review., Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

• 7+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and prompt engineering.

• Experience leading enterprise AI, digital transformation, data, or analytics initiatives.

• Proven experience defining and executing enterprise AI strategies, roadmaps, and adoption programs that drive measurable business outcomes.

• Demonstrated success identifying, prioritizing, and scaling AI use cases from concept through production deployment.

• Strong understanding of Responsible AI, AI governance, model risk management, data privacy, auditability, and regulatory requirements.

• Experience embedding AI capabilities within enterprise data, analytics, or decision-support platforms.

• Ability to translate complex business problems into scalable AI-enabled solutions and operating models.

• Proven track record influencing executives and leading cross-functional teams across business, technology, risk, compliance, and governance functions.

• Exceptional executive communication skills with the ability to simplify complex AI concepts for senior stakeholders.

• Experience within financial services, risk management, regulatory environments, or other highly regulated industries preferred.

Job Expectations:

• Willingness to work on-site at stated location on the job opening

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.