Data Scientist Lead - Business Banking Lending - Vice President
About The Position
The Data Scientist Lead partners with business stakeholders, Lending Strategy, and Product leaders to deliver analytics that support decisions across the business banking lending lifecycle. The role frames high-impact business questions, defines measurement approaches, builds and validates datasets, and turns complex findings into actionable recommendations for senior leaders. The position establishes repeatable KPI and reporting frameworks with documentation and controls, delivers benchmarking and peer comparisons where relevant, and develops scalable analytical solutions to improve performance monitoring and support customers and bankers. It also identifies opportunities to improve measurement, automation, and analytical workflows, including AI-assisted approaches where appropriate. The work supports understanding customer behavior, identifying growth and experience opportunities, and evolving lending products while maintaining data quality and governance.
Requirements
- Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, Economics, or a related discipline.
- At least 5 years of experience in advanced analytics roles.
- Strong SQL skills and experience with modern analytics programming such as Python or R for querying, transforming, analyzing, and validating data.
- Proficiency in statistical analysis and product/customer analytics methods, including hypothesis testing, predictive modeling, and experimentation or measurement design.
- Ability to turn ambiguous business questions into structured analytical approaches and actionable recommendations, with clear, executive-ready storytelling.
- Ability to work cross-functionally in a dynamic product environment, align stakeholders, and drive decisions.
Responsibilities
- Build strong relationships with Product Managers and functional partners in Operations, Risk, Controls, Finance, and Technology.
- Own analyses and reporting end to end, from problem framing and data sourcing through analysis or modeling, insights, and stakeholder review.
- Translate complex findings into clear, non-technical summaries and recommendations for senior stakeholders.
- Connect business rationale to data, assumptions, and trade-offs.
- Define and maintain KPI logic and documentation to support auditability and consistent measurement.
- Identify opportunities to improve measurement, automation, and analytical workflows, including AI-assisted approaches where appropriate.
- Partner with Lending Strategy and Product leaders to build defensible metrics, conduct deep-dive analyses, and deliver benchmarking and reporting.
- Develop scalable analytical solutions to improve performance monitoring and support customers and bankers.
Benefits
- Competitive total rewards package, including base salary.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
