Leads enterprise AI lifecycle governance and delivery processes to support safe, scalable, compliant AI adoption across a regulated bank. Advises senior leaders, assesses AI maturity and readiness, establishes governance frameworks, translates policies into controls and technical requirements, and manages risks involving models, data, privacy, compliance, and operations. Partners with legal, risk, compliance, product, engineering, and data science teams to resolve complex challenges and promote responsible AI practices.
About this role:
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.
Learn more about career areas and lines of business at wellsfargojobs.com.
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.
In this role, you will:
NC- Charlotte Pay Range: $185,000 - $300,000 Annually
TX- Irving Pay Range: $185,000 - $300,000 Annually
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
22 Sep 2026
* Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
#BI-Hybrid
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.
Learn more about career areas and lines of business at wellsfargojobs.com.
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.
In this role, you will:
- 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
- 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
- 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
- Position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
- 2190 Willow Pass Road. Concord, California 94520
- 300 South Brevard Street, Charlotte, North Carolina 28202
- 401 Las Colinas Blvd. Irving, Texas 75039
NC- Charlotte Pay Range: $185,000 - $300,000 Annually
TX- Irving Pay Range: $185,000 - $300,000 Annually
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- 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
22 Sep 2026
* Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
#BI-Hybrid
Wells Fargo New York, New York, USA Office
150 E 42nd Street, New York, NY, United States, 10017
Wells Fargo New York, New York, USA Office
500 West 33rd Street Manhattan, New York, NY, United States, 10001
Similar Jobs at Wells Fargo
Fintech • Financial Services
Own and maintain an Agile Scrum team backlog for lending operations and servicing modernization. Translate product direction, business needs, risk requirements, and technical considerations into features, user stories, acceptance criteria, and delivery plans. Partner with engineering, architecture, operations, data, compliance, and risk teams; facilitate Agile ceremonies; clarify requirements; manage dependencies and risks; support testing, releases, migration, adoption, and value measurement. Use AI-enabled analysis and automation opportunities to improve workflows and reduce manual work.
Top Skills:
AgileAPIsArtificial IntelligenceAzure DevopsCloud PlatformsConfluenceData IntegrationGenerative AiIntelligent AutomationIntelligent WorkflowJIRAKanbanSafeScrum
10 Hours Ago
Fintech • Financial Services
Leads end-to-end servicing for complex commercial, asset-based, syndicated, and participated loans. Processes loan transactions, tranche setups, interest and fee calculations, settlements, accruals, reconciliations, and portfolio maintenance. Partners with internal and external stakeholders, resolves escalated issues, monitors controls and regulatory compliance, provides subject matter expertise and training, and supports process improvements, system enhancements, and user acceptance testing.
Top Skills:
LoaniqLucasStucky
Fintech • Financial Services
Build customer relationships and identify banking needs through branch interactions and proactive outreach. Open accounts, process service requests and credit applications, handle cash and teller transactions, promote relevant banking products, guide customers on digital tools, maintain compliance, and refer customers to licensed bankers or specialists. The role requires Saturday availability, accurate risk-conscious service, and collaboration with branch teammates.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

