Senior Lead Risk Analytics - AI Strategy, Data & AI Platform Enablement
On-siteCharlotte, North Carolina, United States
Job Summary
Define and execute the AI-enabled strategy for the Enterprise Data Reporting Platform, embedding AI capabilities into analytics workflows and business processes. Structure LLM inputs, govern outputs, and establish reusable patterns for AI-enabled research and self-service risk intelligence. Partner across business, technology, risk, and data teams to drive scalable, governed AI adoption while ensuring alignment with data governance, model risk management, and regulatory expectations. Drive end-to-end execution from ideation to production deployment, communicating strategy and realized value to senior leadership. This role supports IDeAS in designing and governing the Risk Platform to enable consistent, scalable analytics across the firm.
Required Qualifications
- 7+ years of Risk Analytics experience
- Willingness to work on-site at stated location on the job opening
- This position is subject to FINRA Background Screening Requirements, including successful completion and clearing of a background check
- Internal transfers are subject to comply with 17 CFR 240.17f-2 of the Securities Exchange Act of 240.17f-2 of the Securities Exchange Act of 1934 and FINRA Bylaws, Article III, Section 3, which states that Associated Persons should not be subject to statutory disqualification
- Successful candidates must also meet ongoing regulatory requirements including additional screening
- Affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired
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
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