Head of Auto Commercial Analytics-Executive Director
About The Position
Chase Auto is a leading provider of auto financing to dealers, consumers, and manufacturers, with more than $80 billion in assets and relationships across 75% of U.S. franchised automotive dealers. Its Commercial Solutions group provides commercial banking services to auto dealers, including Treasury Services, floorplan, real estate and acquisition financing, liquidity management, and other banking solutions. The Head of Commercial Solutions Analytics will lead the analytics strategy for Chase Auto Commercial Solutions, supporting data-driven decisions across dealer acquisition, relationship deepening, commercial lending opportunities, sales effectiveness, portfolio performance, and strategic growth. The role partners with Commercial Solutions executives and cross-functional teams to identify opportunities, build analytical capabilities, improve dealer engagement, and strengthen the business’s competitive position. The leader will manage data scientists and quantitative analysts, translate complex data into actionable strategies, and build scalable analytics capabilities that support modernization.
Requirements
- Bachelor’s degree in a quantitative discipline such as data science, statistics, mathematics, economics, engineering, or computer science.
- 12+ years of experience in analytics, data science, quantitative modeling, strategy, or business intelligence, including significant leadership experience.
- Demonstrated experience leading and developing large analytics organizations and delivering measurable business outcomes.
- Strong expertise in machine learning, predictive analytics, and advanced analytical methodologies.
- Experience leveraging generative artificial intelligence and automation to solve complex business problems.
- Ability to influence senior executives and lead cross-functional initiatives across business, product, technology, risk, finance, and operations teams.
- Experience prioritizing and managing a broad portfolio of analytical work across multiple business domains.
- Proficiency in modern analytics technologies, including Python, SQL, Snowflake, Databricks, and cloud-based data platforms.
- Exceptional communication skills and ability to translate complex analytics into clear, actionable business recommendations.
Nice To Haves
- Master’s degree or PhD in a quantitative discipline such as data science, statistics, mathematics, economics, engineering, or computer science.
- Experience in automotive finance, dealer services, commercial banking, floorplan lending, or related financial services businesses.
- Strong understanding of dealer operations, commercial lending products, customer segmentation, profitability analytics, and growth strategy.
- Experience supporting dealer prospecting, competitive intelligence, market opportunity identification, and sales effectiveness initiatives.
- Experience deploying artificial intelligence-enabled analytics solutions that improve customer engagement, relationship management, or business performance.
- Familiarity with Salesforce, customer relationship management analytics, data governance, machine learning operations, model monitoring, and scalable data products.
- Experience leading enterprise analytics transformations, self-service capabilities, and modernization initiatives, including product-centric delivery approaches.
Responsibilities
- Define and execute the analytics and artificial intelligence strategy for Auto Commercial Solutions, using advanced analytics, machine learning, generative artificial intelligence, and automation to drive growth, efficiency, and competitive advantage.
- Partner with Commercial Solutions leadership on dealer acquisition, relationship deepening, portfolio optimization, sales effectiveness, and commercial growth initiatives.
- Lead development of analytical solutions and insights that inform dealer strategy, market opportunity assessment, customer segmentation, profitability, and competitive positioning.
- Drive adoption of artificial intelligence-enabled capabilities, modern analytics, and data products that improve decision-making and business outcomes.
- Partner with Product, Technology, Data, Risk, and Finance teams to deliver scalable analytics solutions and influence business priorities.
- Establish performance measurement, experimentation, and governance frameworks to ensure analytical rigor, responsible artificial intelligence practices, and measurable business impact.
- Advise executive leadership by translating complex analytical insights into actionable business recommendations.
- Lead, mentor, and develop analytics leaders, data scientists, and analysts while fostering innovation, collaboration, and continuous improvement.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- 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
Executive
