Job Summary

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 crossfunctional 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 prioritiesowning organizational readiness, headcount decisions, and leadership forums.

Responsibilities

- Manage and develop two or more specialized teams of managers and skilled 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 AIshifting from incremental change to sustained impact.
- Advance talent, leadership, and culture: Build and sustain high-performing teams by reinforcing Wells Fargos 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 IP 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

📌 Consumer AI Leader Analytics Director (Bengaluru)
🏢 Wells Fargo
📍 Bengaluru