An application made for this job — a tailored resume and cover letter that speak straight to the posting.
S&P Global Mobility is seeking a senior data product leader to define strategy, outcomes, and roadmap for automotive market data offerings. You will partner with Product, Engineering, Data Science, Sales, Marketing, and Customer Success to scale data products for customers worldwide.
In 2026, you will land early wins, align deliverables to the roadmap, translate user needs into data requirements, and support go-to-market efforts with VoC insights.
Automotive OEMs, national sales companies, and their dealers depend on our market data to gauge their success and benchmark against competitors. Our automotive industry performance solutions allow clients to understand selling patterns, identify key trends, find hidden opportunities, and boost revenue for new and used car sales and services.
Own the end-to-end data product lifecycle - defining strategy, outcomes, and roadmap; validating with customers; and partnering across Product, Engineering, Data Science, Sales, Marketing, and Customer Success to bring data product to market at scale. Near-term focus includes landing early wins and aligning deliverables to roadmap milestones targeting readiness in 2026. Specifically: Collaborate with User Interface Product Managers to integrate data products into key customer-facing products. Own the multi-quarter roadmap, including MVP scope and post-MVP enhancements. Ensure product strategy and roadmap align with business goals into measurable product outcomes and prioritize features accordingly. Support Voice of Customer (VoC) activities with target personas to validate use cases and value propositions. Translate user stories, success metrics, and acceptance criteria into data product requirements, collaborating with Data Science and Product Development. Represent data product and analytics during cross-functional go-to-market strategy development and execution including product definition and training sessions. Establish data QA/QC requirements to understand data and modeling accuracy.
Bachelor's degree in business, economics, marketing, engineering, or related quantitative field. Equivalent relevant industry experience will be considered in lieu of formal training. 7-12+ years in data analytics, product management, or pricing/incentives strategy, preferably in automotive or mobility. Experience implementing AI technologies into the product space. Experience setting requirements for highly complex Data Science, Analytics, Scenario Planning. Proven ability to own end-to-end data delivery and communicate complex analytics to executive stakeholders. Strong skills in roadmap planning, requirements definition, and stakeholder alignment. Direct exposure to incentive planning, OEM sales operations, or financial planning roles. History of successful executive-level presentations at OEMs and internal leadership forums.
S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.
S&P Global states that the anticipated base salary range for this position is $160,000 -$200,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits.
This role is limited to persons with indefinite right to work in the United States.
It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.