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Executive Director - Control Management, Artificial Intelligence Technical Program Head

Wells Fargo

Wells Fargo

Software Engineering, IT
Charlotte, NC, USA
Posted on Apr 9, 2026

Why Wells Fargo

Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place.

Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join us!

About this role:

Wells Fargo is seeking an Executive Director – Artificial Intelligence Technical Program Head to be a senior Control Management leader within the Control Analytics Reporting and Data (CARD) organization, responsible for architecting, governing, and scaling AI‑enabled capabilities across the Risk & Control landscape.

This role leads the enterprise AI programs for Control Management that will leverage both COO & Operational Risk organizations that enable prompt‑driven intelligence, agentic AI solutions, and control‑centric transformation, elevating how risks are identified, assessed, monitored, tested, and remediated across all Risk Assessable Units (RAUs).

Operating at the intersection of Control Management, AI engineering, and enterprise platforms, this leader translates risk and control intent into scalable AI architectures, ensures responsible AI governance, and drives measurable control effectiveness outcomes.

This role combines deep technical credibility with control discipline, capable of modernizing Control Management through AI while maintaining trust, transparency, and regulatory confidence.


In this role, you will lead:

AI Strategy & Control Enablement

  • Define and execute the AI technical strategy for Control Management, aligned to enterprise Risk & Control frameworks, audit expectations, and regulatory standards.

  • Translate control objectives, risk statements, and testing requirements into AI‑enabled capabilities, including prompt‑driven insights and agent‑based workflows.

  • Partner with Control, Risk, Audit, and Compliance leaders to ensure AI solutions augment risk mitigation and control accountability.

Prompt Engineering & Intelligence Design

  • Establish enterprise standards for prompt design, validation, reuse, and lifecycle management in control and risk use cases.

  • Enable prompt‑driven control intelligence, including:

    • Risk signal detection

    • Control evidence summarization

    • Policy interpretation and obligation mapping

    • Exception analysis and thematic insights

  • Ensure prompts are auditable, explainable, version‑controlled, and outcome‑aligned.

Agentic AI & Automation Leadership

  • Lead the design and deployment of agentic AI solutions that autonomously:

    • Monitor control performance

    • Execute control checks

    • Trigger remediation workflows

    • Coordinate multi‑step risk assessments

  • Oversee human‑in‑the‑loop models to ensure appropriate escalation, review, and decision accountability.

  • Drive reuse of agents across RAUs to reduce duplication and improve consistency.

Technical Program & Platform Leadership

  • Lead cross‑functional technical teams (AI engineers, data engineers, platform specialists, control technologists).

  • Own delivery of AI capabilities across enterprise platforms (e.g., internal AI platforms, data fabrics, analytics stacks).

  • Ensure tight integration with data, identity, security, and model governance frameworks.

Responsible AI, Risk & Governance

  • Embed Responsible AI principles across all solutions, including fairness, explainability, data lineage, and bias monitoring.

  • Partner with Model Risk Management, Technology Risk, and Audit to ensure:

    • Clear model documentation

    • Control traceability

    • Regulatory defensibility

  • Establish controls over AI itself, including model monitoring, drift detection, and prompt misuse prevention.

Executive Engagement & Transformation Leadership

  • Serve as a senior technical advisor to Control Management and Risk leadership on AI adoption.

  • Communicate AI value in business‑relevant, control‑outcome language for executives, regulators, and auditors.

  • Champion a culture of innovation with discipline across the Control organization.

Required Qualifications:

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

  • 3+ years of management or leadership experience

  • Experience across AI engineering, advanced analytics, or enterprise technology, with senior leadership exposure

  • Proven experience delivering AI solutions in regulated financial services environments


Desired Qualifications:

  • Demonstrated success leading large‑scale technical programs spanning multiple teams and stakeholders

  • Deep understanding of Generative AI and LLM architectures, prompt engineering and prompt orchestration, and Agentic AI frameworks and autonomous workflows

  • Deep understanding of data platforms, APIs, and enterprise analytics ecosystems

  • Strong familiarity with Risk and Control Management concepts, including RAUs, control design, testing, issue management, and audit alignment

  • Ability to map AI capabilities directly to control effectiveness and risk reduction outcomes

  • Track record of building high-performing technical teams in complex environments


Job Expectations:

  • This position offers a hybrid work schedule

  • Ability to work at the posted location

  • This position does not offer visa sponsorship

  • This position does not offer relocation

Posting Locations:

  • 401 S Tryon, Charlotte, NC

Posting End Date:

29 Apr 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.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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.