Consumer AI Leader – Analytics Director

In This Role, You Will

• Manage and develop two or more specialized teams of managers and professional individual contributors in planning, coordinating
• executing data research projects and results-oriented intelligence that support business objectives Maintain functional ownership of various aspects including technical advisory, delivery infrastructure, communication
• 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
• 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
• 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
• 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
• 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
• 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
• modeling initiatives (including expanding the Fargo product footprint), ensuring measurable outcomes, quality
• Drive business-aligned transformation: Identify and execute opportunities that improve efficiency, quality
• scalability via smarter processes, data-driven decisioning
• 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 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
• 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)
• 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
• 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.