Data Science Director

Wells Fargo is seeking a Data Science Director to lead a broad, strategic analytics portfolio within Digital, Data & AI. This role is accountable for defining analytics strategy, setting the operating model, and leading high-performing teams that deliver decision support, measurement frameworks, and scalable insight capabilities across digital, mobile, and cross-channel customer experiences.

Responsibilities

• Set the vision, strategy, and multi-year roadmap for digital, mobile, and cross-channel analytics, ensuring alignment to enterprise priorities, customer outcomes, product strategy, risk requirements, and business growth.
• Identify opportunities for automation and leveraging AI.
• Serve as a trusted advisor to senior executives by translating complex data into clear strategic insights, performance narratives, and decision-ready recommendations that influence roadmap, investment, and experience design decisions.
• Lead cross-functional partnerships across Product, Digital, Engineering, Risk, Fraud, Marketing, Operations, Customer Experience, and Research to embed analytics into strategic planning, prioritization, experimentation, and product delivery.
• Own analytics for digital and mobile customer journeys, including identity and authentication, developing an integrated view of engagement, conversion, satisfaction, friction points, and value creation across channels and experiences.
• Lead the strategy for cross-channel analytics automation, scaling governed data products, standardized dashboards, reusable measurement assets, and self-service insight capabilities to reduce manual reporting and accelerate decision-making.
• Provide executive leadership for Fargo analytics, measuring discovery, engagement, containment, customer outcomes, and experience quality to inform prioritization, optimization, and responsible scaling of AI-powered experiences.
• Oversee product-specific analytics across priority digital capabilities and experiences, including feature adoption, funnel performance, customer behavior, experimentation, and business impact measurement.
• Direct analytics for identity and authentication experiences, balancing customer ease, fraud mitigation, security controls, and conversion outcomes through rigorous measurement, diagnostics, and insight generation.
• Lead performance and insights analytics using trend analysis, time-series methods, and behavioral diagnostics to identify performance drivers, emerging issues, and opportunities for optimization across digital and mobile channels.
• Establish enterprise-grade measurement frameworks for digital, mobile, and product experiences, including KPI definitions, attribution and causal measurement approaches, test-and-learn design, and value realization tracking.
• Advance transparency and accountability through BEV, glass box, and diagnostic analytics, enabling leaders to understand drivers of performance, operational tradeoffs, model behavior, and opportunities for continuous improvement.
• Integrate customer research, voice-of-customer insights, and behavioral analytics to create a richer understanding of customer needs, pain points, journey friction, and emerging opportunity areas.
• Establish and scale analytics governance across data definitions, metric standardization, instrumentation quality, controls, and risk management to improve consistency, trust, and reusability across teams.
• Lead a modern analytics operating model that connects research, measurement, diagnostics, and automation to product and business decision-making, improving speed to insight and execution effectiveness.
• Own a high-visibility analytics portfolio, balancing near-term delivery with long-term capability building while ensuring alignment to strategic priorities, funding decisions, and enterprise transformation goals.
• Lead and develop multiple teams of managers, analysts, and data science professionals delivering complex, cross-functional analytics, measurement, and automation initiatives.
• Establish and maintain strong standards for data accuracy, integrity, governance, model transparency, control effectiveness, and risk management across the analytics portfolio.
• Provide thought leadership on advanced analytics methods, experimentation, time-series analysis, measurement science, and analytics modernization best practices.

Requirements

• 10+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 4+ years of management or leadership experience.
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.

Qualifications

• Experience in digital, mobile, product, or channel analytics, preferably within financial services or other highly regulated environments.
• Exceptional executive communication and influence skills, with the ability to shape strategy and drive alignment across senior leaders and complex stakeholder groups.
• Demonstrated success leading complex, cross-functional analytics transformations spanning measurement, governance, automation, and operating model design.
• Experience with experimentation, time-series analysis, customer research integration, and product performance measurement in digital environments.
• Experience modernizing analytics platforms, instrumentation, or governance practices to support scalable, self-service, and transparent decisioning.

Job Expectations

• Ability to travel up to 10% of the time.
• Hybrid work schedule.
• Not eligible for Visa sponsorship.

Posting locations: Charlotte, North Carolina; San Francisco, California; Irving, Texas.

Pay

$185,000.00 - $300,000.00

Benefits

• 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