Director, Product Management - Auto Finance & Risk Intelligence

Hearst•Lawrenceville, GA

About The Position

Automotive lenders, captive finance companies, securitization issuers, and investors need a timely, explainable view of how vehicle values are changing across vehicle loan and lease portfolios and the securities backed by that collateral. Black Book already has a strong, differentiated position in automotive valuation and residual intelligence. It observes wholesale outcomes every day and combines that independent market view with proprietary vehicle valuation, predictive analytics, and deep automotive knowledge. This role will turn that advantage into products that help customers identify risk and make better financial decisions. Black Book is looking for a hands-on product leader to grow our Auto Finance & Risk Intelligence product portfolio. This person will turn Black Book's vehicle value intelligence, predictive analytics, market data, and automotive expertise into differentiated products that customers understand, adopt, and pay for. You will own product strategy for Auto Finance & Risk Intelligence, serving lenders and captive finance companies, securitization issuers, institutional investors, and banks, while working closely with Data Science, Residuals, Automotive Valuations, Data Operations, Product Engineering, Sales, and other Black Book teams. Your priority will be building and validating a net-new product for automotive finance risk and valuation workflows, from customer discovery through a sellable product, while managing the existing Auto Finance portfolio. This is not a backlog-administration role. We are looking for a product leader who enjoys getting close to customers, framing ambiguous problems, prototyping with AI tools, making hard prioritization decisions, including what not to build, and taking ownership from opportunity through launch and measurable performance.

Requirements

8+ years of product management experience, including 3+ years owning a product portfolio or leading cross-functional product initiatives, across product strategy, customer discovery, requirements, delivery, launch, and post-launch product performance for complex data, analytics, SaaS, or workflow products.
Deep experience in automotive finance, with a strong understanding of the decisions and workflows of lenders, captives, servicers, issuers, or investors, including how recovery, loss severity, and residual values drive credit loss and lease economics.
Working fluency in asset-backed lending, structured finance, or securitization, with an understanding of collateral performance, risk monitoring, and the information needs of lenders, issuers, servicers, and investors.
A track record of taking data, analytics, or complex domain expertise and turning it into products customers will buy and use.
Experience leading 0-to-1 product discovery and validation, including customer interviews, prototypes, business cases, willingness-to-pay conversations, and design partner development.
Strong ability to work hands-on while influencing Data Science, Engineering, Operations, Sales, and executive stakeholders.
Experience using customer feedback, product usage, and commercial results to make product decisions.
Ability to partner effectively with Data Science and Product Engineering, with an understanding of predictive models, APIs, analytics workflows, data quality, and product instrumentation.
Excellent written and verbal communication, with the ability to make complex automotive and financial concepts clear to both technical and commercial audiences.
Demonstrated hands-on experience using AI tools for product discovery, prototyping, research, or workflow design.
Willingness and ability to travel, including occasional travel to Canada.

Nice To Haves

Direct experience applying or commercializing vehicle residual values, automotive valuation, lease or loan portfolio analytics, collateral surveillance, or remarketing intelligence.
Experience commercializing API, SaaS, data, or analytics products for enterprise customers.
Experience with pricing and packaging for data or workflow products.
Existing relationships with automotive lenders, captives, servicers, ABS issuers, investors, or related industry participants.

Responsibilities

Own the Auto Finance & Risk Intelligence product strategy, roadmap, and portfolio prioritization across net-new opportunities and the broader product portfolio.
Lead customer and market discovery with lenders, captive finance companies, securitization issuers, institutional investors, banks, and other automotive finance participants.
Identify and validate high-value opportunities across automotive finance risk, portfolio analytics, collateral intelligence, valuation decision support, and scenario analysis.
Build product theses and business cases that connect customer value, data feasibility, commercial potential, competitive differentiation, and delivery investment.
Translate customer needs and Jobs to Be Done into clear product outcomes, workflows, prototypes, and requirements.
Use AI-native tools to prototype concepts, accelerate research and analysis, and make ideas tangible for customers and internal teams.
Partner with Product Engineering, Data Science, Residuals, Automotive Valuations, and Data Operations to validate feasibility, align on requirements, and keep delivery connected to the customer problem.
Secure early customer validation, including anchor customers willing to pay, before significant product investment is committed.
Own launch decisions, launch readiness, sales enablement, and the feedback loop from early adoption into the roadmap.
Partner with the SVP Product & Technology on packaging and pricing and take increasing ownership as the product and commercial model mature.
Define and monitor product performance, including customer adoption, usage, retention, expansion, revenue contribution, and evidence of customer value.
Coach and develop one Product Owner while establishing clear product practices across the Auto Finance & Risk Intelligence portfolio.