Senior Lead Data Science Consultant

About this role:

Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. This role will be responsible for developing and delivering advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.

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

In this role, you will:

• Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
• Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
• Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
• Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
• Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
• Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
• Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
• Build executive‑ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
• Clearly communicate complex analytical concepts to non‑technical audiences using data storytelling and visualizations.
• Respond to ad‑hoc leadership requests with concise, high‑impact analyses and recommendations.
• Collaborate with cross‑functional partners (Analytics, Banking, Risk, Operations, Technology).
• Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
• Act as a trusted analytics advisor to stakeholders across the organization.

Required Qualifications:

• 7+ 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:

• Experience in banking, financial services, customer analytics, or coverage/placement models
• Expertise in advanced analytics and data tools (e.g., SQL, Python, R, SAS) with hands-on experience in deep-dive analysis and data mining
• Proficiency in data visualization and BI platforms (e.g., Power BI, Tableau, Alteryx) to develop interactive dashboards and reporting frameworks
• Experience developing KPI frameworks, building business cases, and quantifying the financial impact of strategic initiatives
• Familiarity with governance, risk, or compliance considerations in analytics.
• Strong experience engaging executive stakeholders, including delivering clear, data-driven insights and recommendations to senior leadership
• Strong analytical skillset, including experience with data analysis, modeling, and interpretation.
• Experience working with structured datasets from enterprise data sources.
• Strong business acumen with the ability to align analytics initiatives to enterprise goals, risk considerations, and regulatory/compliance needs
• Ability to operate independently, navigate ambiguity and manage multiple priorities in a fast‑paced environment.

Job Expectations:

• Position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position

Locations:

• 401 S. Tryon St. Charlotte, NC
• 600 S 4th St Minneapolis, MN
• 2700 S. Price Rd. Chandler, AZ

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.

$159,000.00 - $279,000.00