Chase Auto is a leading provider of auto financing to dealers, consumers, and manufacturers, with a portfolio of more than $80 billion in assets and relationships across 75% of U.S. franchised automotive dealers. The Commercial Solutions group delivers a full suite of commercial banking solutions for auto dealers, including Treasury Services, floorplan, real estate and acquisition financing, liquidity management, and other banking solutions. In this role, you’ll shape the analytics strategy that helps us deepen dealer relationships, improve sales effectiveness, and identify new commercial growth opportunities. You’ll partner with senior leaders across Product, Technology, Sales, Finance, Risk, and Data to deliver scalable capabilities and actionable insights. If you enjoy building high-performing teams and translating complex data into clear business decisions, this is a high-impact leadership opportunity.
As the Head of Commercial Solutions Analytics in Chase Auto Commercial Solutions, you will lead the analytics strategy that drives data-driven decision-making across dealer acquisition, relationship deepening, commercial lending opportunities, sales effectiveness, portfolio performance, and strategic growth initiatives. You’ll partner closely with Commercial Solutions executives and cross-functional teams to identify opportunities, build analytical capabilities, and deliver insights that improve dealer engagement and strengthen our competitive position. You’ll lead a team of data scientists and quantitative analysts, translating complex data into actionable strategies while building scalable analytics that support our modernization agenda.
Job responsibilities
- Define and execute the analytics and artificial intelligence strategy for Auto Commercial Solutions, leveraging advanced analytics, machine learning, generative artificial intelligence, and automation to drive growth, efficiency, and competitive advantage
- Partner with Commercial Solutions leadership to support dealer acquisition, relationship deepening, portfolio optimization, sales effectiveness, and commercial growth initiatives
- Lead the development of analytical solutions and insights that inform dealer strategy, market opportunity assessment, customer segmentation, profitability, and competitive positioning
- Drive the 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 strategic priorities across the business
- Establish performance measurement, experimentation, and governance frameworks to ensure analytical rigor, responsible artificial intelligence practices, and measurable business impact
- Serve as a trusted advisor to executive leadership by translating complex analytical insights into actionable business recommendations
- Lead, mentor, and develop a high-performing organization of analytics leaders, data scientists, and analysts while fostering a culture of innovation, collaboration, and continuous improvement
Required qualifications, capabilities, and skills
- 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 with the ability to translate complex analytics into clear, actionable business recommendations
Preferred qualifications, capabilities, and skills
- 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
About Us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the TeamSkills Required
- Bachelor's degree in data science, statistics, mathematics, economics, engineering, computer science, or another quantitative discipline
- 12 or more years of experience in analytics, data science, quantitative modeling, strategy, or business intelligence
- Significant leadership experience managing and developing analytics organizations
- Experience delivering measurable business outcomes through analytics
- Expertise in machine learning, predictive analytics, and advanced analytical methodologies
- Experience using generative artificial intelligence and automation to solve complex business problems
- Ability to influence senior executives and lead cross-functional initiatives
- Experience prioritizing and managing a broad portfolio of analytical work across multiple business domains
- Proficiency with Python, SQL, Snowflake, Databricks, and cloud-based data platforms
- Exceptional communication skills for translating complex analytics into actionable recommendations
- Master's degree or PhD in a quantitative discipline
- Experience in automotive finance, dealer services, commercial banking, floorplan lending, or related financial services
- Understanding of dealer operations, commercial lending, customer segmentation, profitability analytics, and growth strategy
- Experience with dealer prospecting, competitive intelligence, market opportunity identification, and sales effectiveness
- Experience deploying AI-enabled analytics solutions
- Familiarity with Salesforce, CRM analytics, data governance, machine learning operations, model monitoring, and scalable data products
- Experience leading enterprise analytics transformations, self-service capabilities, and modernization initiatives
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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