Senior Lead Artificial Intelligence Solutions Consultant

Wells Fargo • Concord, CA

3d • $185,000 - $300,000 • Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Artificial Intelligence Solutions Consultant, as part of the Enterprise AI Lifecycle and Governance-Regulatory, Risk, Audit and Controls team. You will lead the design, implementation, and continuous improvement of enterprise AI lifecycle adherence and governance, and delivery processes to enable the safe, scalable, and compliant adoption of AI solutions across the bank. This role serves as a strategic bridge between business, technology, risk, legal, control, compliance, and operational teams to accelerate value realization while maintaining compliance and regulatory adherence and control effectiveness. You will assess enterprise AI maturity, and provide executive‑level, risk‑informed guidance across a broad portfolio of AI initiatives, including data platforms, advanced analytics, machine learning, and intelligent automation. Acting as a trusted advisor to senior management, this individual monitors evolving regulatory expectations and industry standards to strengthen governance capabilities while enabling responsible and controlled adoption of AI at scale.

Requirements

• 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience establishing, executing, and maintaining enterprise level Artificial Intelligence governance frameworks, including policies, standards, operating models, tooling, and oversight mechanisms to ensure compliant, responsible, and consistent AI adoption across lines of business
• 5+ years of experience defining and owning end to end governance strategy, requirements, and oversight for large scale technology or platform programs, including risk assessment, control design, and enterprise or global alignment in a highly regulated environment

Nice To Haves

• Demonstrate ability to design, implement, and operate enterprise‑wide AI governance frameworks within a large, regulated financial institution, ensuring alignment with business strategy, risk appetite, and regulatory expectations
• Navigate complex regulatory, privacy, and risk constraints (e.g., model risk management, data usage restrictions, fair lending) to ensure AI and advanced analytics solutions comply with internal policies and external regulatory expectations across their full lifecycle
• Translate AI governance policies, standards, and risk frameworks into clear product requirements, operational controls, and technical expectations that can be consistently implemented by engineering and data science teams
• Embed risk-aware design principles into AI-enabled systems, including appropriate controls, documentation, monitoring, and human-in-the-loop mechanisms to mitigate model, operational, and compliance risks at scale
• Partner closely with Legal, Compliance, Control, Risk, Product, and Engineering stakeholders to align on AI governance decisions, resolve trade-offs, and drive enterprise adoption of responsible and compliant AI practices
• Strong understanding of AI/ML governance, operational risk, controls, and enterprise technology delivery

Responsibilities

• Act as an advisor to senior leadership in developing a large cross functional team to identify and execute complex artificial intelligence initiatives that span a large line of business
• Provide consultation to more experienced leaders in order to recommend solutions which solve business challenges
• Lead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefits
• Leverage Artificial Intelligence expertise to evaluate technological readiness, data availability, and resources required to execute the proposed solutions
• Provide direction on key issues which may arise during development or implementation
• Cultivate relationships with clients to identify and develop a pipeline of future Artificial Intelligence opportunities which align with the strategic priorities of the business
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed