Senior Lead Artificial Intelligence Solutions Consultant

Wells Fargo

. Lead the design, implementation, and continuous improvement of enterprise AI lifecycle adherence, governance, and delivery processes .

Posted 9/17/2026full-timeCharlotte • California • United StatesSenior💰 $185,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and implementing enterprise-level AI governance frameworks within regulated financial institutions, ensuring compliance with evolving regulatory standards and operational risk management. Capable of leading cross-functional teams to execute complex AI initiatives while fostering strong relationships with stakeholders across business and technology domains.

Highest-signal resume keywords

Artificial Intelligence Solutions ExperienceEnterprise-Level AI Governance FrameworksRisk Assessment and Control DesignRegulatory Compliance and Risk ManagementCross-Functional Team Leadership

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Applicant Tracking System Keywords

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Hard Skills

AI Governance Framework DesignRisk AssessmentOperational Risk ManagementData Usage RestrictionsModel Risk ManagementAI/ML GovernanceTechnical Requirements TranslationEnd-to-End Governance StrategyPolicy DevelopmentOversight Mechanisms

Soft Skills

Strategic CommunicationClient Relationship ManagementProblem SolvingCollaborationAdvisory Skills

Industry Keywords

Financial InstitutionRegulatory StandardsGovernance PoliciesOperational ControlsComplianceEnterprise Technology DeliveryAI Lifecycle AdherenceRisk-Informed GuidanceHuman-in-the-Loop MechanismsPrivacy Constraints

About the role

Key responsibilities & impact

Lead the design, implementation, and continuous improvement of enterprise AI lifecycle adherence, governance, and delivery processes
Enable safe, scalable, and compliant adoption of AI solutions across the bank
Serve as a strategic bridge between business, technology, risk, legal, control, compliance, and operational teams
Assess enterprise AI maturity and provide executive-level, risk-informed guidance across AI initiatives
Monitor evolving regulatory expectations and industry standards to strengthen governance capabilities
Advise senior leadership in developing a large cross-functional team to identify and execute complex AI initiatives
Consult with experienced leaders to recommend solutions for business challenges
Lead strategy and resolution of highly complex challenges
Evaluate technological readiness, data availability, and resources required for proposed solutions
Provide direction on issues arising during development or implementation
Cultivate client relationships to identify and develop a pipeline of future AI opportunities
Collaborate with peers, colleagues, and managers to resolve issues and achieve goals

Requirements

What you’ll need

7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
5+ years of experience establishing, executing, and maintaining enterprise-level Artificial Intelligence governance frameworks, including policies, standards, operating models, tooling, and oversight mechanisms
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
Ability to design, implement, and operate enterprise-wide AI governance frameworks within a large, regulated financial institution
Ability to navigate regulatory, privacy, and risk constraints, including model risk management, data usage restrictions, and fair lending
Ability to translate AI governance policies, standards, and risk frameworks into product requirements, operational controls, and technical expectations
Ability to embed risk-aware design principles into AI-enabled systems, including controls, documentation, monitoring, and human-in-the-loop mechanisms
Ability to partner with Legal, Compliance, Control, Risk, Product, and Engineering stakeholders
Strong understanding of AI/ML governance, operational risk, controls, and enterprise technology delivery
Position is not eligible for Visa sponsorship

Benefits

Comp & perks

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
Incentive opportunities may be available