Data Science Director

About this role:

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. The leader in this role will partner closely with senior Product, Digital, Technology, Risk, and Business leaders to shape priorities, modernize analytics through automation, and drive measurable outcomes across Fargo, product analytics, identity and authentication, performance and behavioral insights, customer research, BEV, glass box diagnostics, and analytics governance. This position requires a strong balance of strategic vision, organizational leadership, operational rigor, and executive influence, with a focus on building durable analytics capabilities that improve customer experience, business performance, and enterprise decision-making.

Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• 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.

Required Qualifications:  

• 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

Desired 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.

• This position offers a hybrid work schedule.

This position is not eligible for Visa sponsorship.

Posting Location(s):

• 401 S Tryon St. – Charlotte, North Carolina 28202

• 333 Market Street – San Francisco, California 94105

• 401 Las Colinas Blvd. Bldg B – Irving, Texas 752039

Required locations listed.  

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• 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

Posting End Date:

*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.

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.