Lead Test Design & Planning Consultant

Wells Fargo•Columbus, OH

2d•$139,000 - $217,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

Partner with cross-functional stakeholders to plan and size marketing strategies, aligning test design with business objectives and growth opportunities.
Design, consult on, and execute statistically robust test‑and‑learn experiments that drive customer growth, engagement, and campaign performance.
Support the monthly forecasting process by estimating future performance using historical data, including return on marketing investment.
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.
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 strategically with peers, partners, and mid‑ to senior‑level leaders to develop data‑driven recommendations that resolve business challenges and advance strategic goals.
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.
Ensure all work adheres to applicable legal, regulatory, and compliance standards across marketing and analytics initiatives.