Design and lead statistically robust marketing experiments, forecasting, and optimization strategies to improve customer growth, engagement, and campaign performance. Apply advanced analytics, programming, experimental design, and data science methods to generate actionable recommendations. Partner with cross-functional stakeholders, communicate findings to technical and executive audiences, mentor teammates, manage projects, and ensure compliance with applicable legal and regulatory standards.
Summary Generated by Built In
About this role: Wells Fargo is seeking a Lead Test Design & Planning Consultant to join our expanding Marketing Science Team within Consumer Banking & Lending (CBL). In this role, you will consult on, design, and implement statistically robust testing strategies that drive marketing customer growth, engagement, and campaign performance. You will partner with stakeholders to continuously optimize testing approaches and improve efficiency across marketing initiatives. Additional responsibilities of the role include forecasting financial returns, assessing key marketing levers for future optimization, and developing a learning agenda for continuous refinement of our marketing campaigns. Learn more about the career areas and lines of business at wellsfargojobs.com . In this role, you will: Plan: Partner with cross-functional stakeholders to plan and size marketing strategies, aligning test design with business objectives and growth opportunities. Test: Design, consult on, and execute statistically robust test-and-learn experiments that drive customer growth, engagement, and campaign performance. Forecast: Support the monthly forecasting process by estimating future performance using historical data, including return on marketing investment. Optimize: Evaluate key marketing levers to identify opportunities for optimization. Develop and maintain a forward-looking learning agenda to continuously refine marketing strategies, leveraging statistical techniques and experimental design. Apply advanced analytics and programming to interpret data, solve complex problems, and inform business decisions. Lead: You will act as a key participant in large-scale planning for marketing initiatives, including those that are cross-functional with broad impact, by using advanced analytical and statistical techniques to generate actionable insights, trends, and recommendations. Provide guidance on data science best practices, methodologies, and tools to partners and peers. Lead projects and mentor teammates. Collaborate: Collaborate strategically with peers, partners, and mid- to senior-level leaders to develop data-driven recommendations that resolve business challenges and advance strategic goals. Communicate: Translate complex analyses into clear, actionable insights and recommendations for both technical and non-technical audiences. Engage effectively with stakeholders at all levels, including senior leadership, as a trusted advisor. Legal & Compliance: Ensure all work adheres to applicable legal, regulatory, and compliance standards across marketing and analytics initiatives. Required Qualifications: 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: 2+ years of experience in statistical design of experiments, analytics, or forecasting for marketing initiatives, demonstrated through work experience, training, or education Experience with analytical skills, demonstrated by experience consulting on, analyzing, and delivering insights that drive business impact, including incorporating feedback and refining analyses to improve outcomes Experience with project management skills, demonstrated by ability to prioritize and manage multiple projects simultaneously, meet deadlines, communicate effectively, collaborate across teams, and adapt to changing priorities Experience with leadership skills, demonstrated by proven ability to lead and influence initiatives by guiding decision-making, identifying and escalating risks, driving solutions, and coordinating work across teams and stakeholders Experience with technical skills, demonstrated by experience with Excel, programming languages (SQL, Python, R, SAS, etc.), large datasets (data manipulation and engineering), and data visualization tools (Excel, Tableau, Power BI, etc.) Experience with Design of Experiments / Hypothesis Testing using marketing data to inform marketing strategy decisions for that drive the business forward Job Expectations: Ability to travel 10% of the time Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office & two (2) days remote. This position is not eligible for Visa sponsorship. Relocation assistance is not available for this position. 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. $139,000.00 - $217,000.00 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, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 5 Oct 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, 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. #BI-Hybrid
Skills Required
5+ years of data science experience, or equivalent experience demonstrated through work experience, training, military experience, or education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Ability to design and execute statistically robust marketing experiments
Experience with statistical design of experiments, analytics, or forecasting for marketing initiatives
Experience consulting on, analyzing, and delivering insights that drive business impact
Project management skills, including prioritizing multiple projects, meeting deadlines, communicating effectively, and collaborating across teams
Leadership skills, including guiding decisions, identifying risks, driving solutions, and coordinating work across teams
Experience with Excel, SQL, Python, R, SAS, large datasets, data manipulation and engineering, and data visualization tools such as Tableau or Power BI
Experience with design of experiments and hypothesis testing using marketing data
Ability to travel 10% of the time
Ability to work a hybrid schedule three days in the office and two days remotely from an approved location
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