Senior Lead Data Science Consultant

Responsibilities

• 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.

• 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