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Data Science Director

Wells Fargo1d ago
United StatesHybridFull-timeDirector Level10+ yrs exp
H-1B verified · 111 LCAs

Top focus

Vp DataData ScientistData AnalystData EngineerData Consultant

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
  • decision-ready recommendations that influence roadmap, investment
  • experience design decisions.
  • Lead cross-functional partnerships across Product, Digital, Engineering, Risk, Fraud, Marketing, Operations, Customer Experience
  • Research to embed analytics into strategic planning, prioritization, experimentation
  • Own analytics for digital and mobile customer journeys (including identity and authentication , developing an integrated view of engagement, conversion, satisfaction, friction points
  • value creation across channels and experiences.
  • Lead the strategy for cross-channel analytics automation , scaling governed data products, standardized dashboards, reusable measurement assets
  • self-service insight capabilities to reduce manual reporting and accelerate decision-making.
  • Provide executive leadership for Fargo analytics , measuring discovery, engagement, containment, customer outcomes
  • experience quality to inform prioritization, optimization
  • 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
  • behavioral diagnostics to identify performance drivers, emerging issues
  • opportunities for optimization across digital and mobile channels.
  • Establish enterprise-grade measurement frameworks for digital, mobile
  • product experiences, including KPI definitions, attribution and causal measurement approaches, test-and-learn design
  • value realization tracking.
  • Advance transparency and accountability through BEV, glass box
  • diagnostic analytics , enabling leaders to understand drivers of performance, operational tradeoffs, model behavior
  • 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
  • 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
  • computer science Desired Qualifications: Experience in digital, mobile, product
  • 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
  • operating model design Experience with experimentation, time-series analysis, customer research integration
  • product performance measurement in digital environments Experience modernizing analytics platforms, instrumentation
  • governance practices to support scalable, self-service
  • 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. $185,000.00 - $300,000.00 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
  • accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 3 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.
  • 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.

Required skills

data scienceanalyticsAIautomationproduct analyticscustomer experiencemeasurement frameworksbehavioral insightsdata governancequantitative analysistime-series analysisexperimentation
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