Consumer AI Leader – Analytics Director

About this role:

Consumer AI Leader – Analytics Executive / Director

About the Role

We are seeking a senior analytics leader to drive people, delivery, and strategic outcomes across Consumer AI and advanced analytics teams. This role is responsible for leading analytics organizations such as Consumer Modeling and Decisioning (CMDC)–aligned teams, partnering closely with executive leadership, HR, and cross‑functional stakeholders to ensure strong workforce health, effective talent strategy, and business impact.

This leader serves as a key connector between analytics strategy, talent outcomes, and enterprise priorities - owning organizational readiness, headcount decisions, and leadership forums.

In this role, you will:

Manage and develop two or more specialized teams of managers and professional individual contributors in planning, coordinating, and executing data research projects and results-oriented intelligence that support business objectives

Maintain functional ownership of various aspects including technical advisory, delivery infrastructure, communication, and engagement strategy and other key strategic aspects of the function

Identify opportunities and strategies to integrate external market factors that impact or drive business outcomes

Build analytical capabilities and manage forecasting, reporting, and data distribution tools and processes

Manage and direct multiple levels of managers to ensure effective consultation and recommendations based on data analysis

Interpret and develop a range of guidelines for compliance and risk management requirements for supported area and work with other stakeholders to implement key risk initiatives

Interface with external agencies, regulatory bodies or industry forums

Collaborate with and influence all levels of professionals including senior leadership to predict current and future needs and achieve consistent application of definitions, measurements, and interpretation

Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives

Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications:

10+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

5+ years of management or leadership experience

Proven track record delivering end-to-end analytics/AI initiatives from problem framing through deployment, adoption, and measurement of business value.

Demonstrated ability to build, scale, and develop high-performing teams (hiring, coaching, performance management, succession planning).

Strong strategic planning and execution skills, including operating model design, prioritization, and delivery governance aligned to business outcomes and OKRs.

Experience partnering with executive leaders and cross-functional stakeholders (product, technology, risk/compliance, HR) to drive workforce health and enterprise priorities.

Experience leading or working within global/India-based delivery and leadership models, including integrating leaders to own end-to-end programs.

Excellent communication and influence skills, including the ability to simplify complex technical topics for business audiences.

Key Responsibilities

Build future-ready AI and domain capability: Strengthen advanced analytics and AI depth across the organization through clear development paths, practical application, coaching, and leadership readiness.

Provide functional and site leadership (India) for Consumer AI & Modeling: Lead the Consumer AI and Modeling organization in India and extend site leadership across aligned CBL teams; establish operating rhythms, standards, and accountability.

Own end-to-end delivery of priority initiatives: Take end-to-end ownership for high-impact AI, analytics, and modeling initiatives (including expanding the Fargo product footprint), ensuring measurable outcomes, quality, and scalability.

Drive business-aligned transformation: Identify and execute opportunities that improve efficiency, quality, and scalability via smarter processes, data-driven decisioning, and applied AI - shifting from incremental change to sustained impact.

Advance talent, leadership, and culture: Build and sustain high-performing teams by reinforcing Wells Fargo’s culture and expectations; hire, develop, and retain diverse talent; translate employee feedback into actions that improve engagement and trust; foster responsible use of AI.

Further the I&P vision: Define and drive end-state and timing across key areas, including integrating India leads to own end-to-end projects (e.g., staffing),

Desired Qualifications:

Advanced degree in a quantitative or business field (e.g., MS/PhD in Statistics, Computer Science, Data Science, Operations Research, Economics; or MBA with strong analytics focus).

Experience building and governing model measurement frameworks (e.g., value realization, monitoring, drift, and adoption metrics) and scaling them across portfolios.

Hands-on familiarity with modern AI/ML practices such as MLOps, model risk management, feature stores, experimentation, and responsible AI controls.

Experience partnering with product and engineering teams to deliver AI-enabled products, platforms, or decisioning capabilities at scale.

Demonstrated transformation leadership (process redesign, operating cadence, standardization, and change management) across multiple teams.

Deep domain expertise in consumer financial services, lending, marketing/decisioning, or customer analytics.

Experience building or scaling leadership forums and cross-site governance to improve alignment, delivery, and talent outcomes

Posting End Date:

16 Aug 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

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.