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Director, Data Product Manager - Pricing Solutions - Mobility

Job in Southfield, Oakland County, Michigan, 48076, USA
Listing for: R. L. Polk Mobility LLC
Full Time position
Listed on 2026-06-26
Job specializations:
  • Business
    Business Systems & Technology Analysis, Data Analyst
  • IT/Tech
    Business Systems & Technology Analysis, Data Analyst
Salary/Wage Range or Industry Benchmark: 160000 - 200000 USD Yearly USD 160000.00 200000.00 YEAR
Job Description & How to Apply Below

Overview

Directing automotive industry data products, the role focuses on defining and scaling analytical solutions for real-time incentives, pricing, inventory, and scenario planning. The incumbent will be an energetic, forward‑thinking leader who identifies business problems and develops innovative solutions that exceed customer expectations.

Key Responsibilities
  • 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 products to market at scale.
  • Focus on early wins and align deliverables to roadmap milestones targeting readiness in 2026.
  • 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.
Qualifications
  • Bachelor’s degree in business, economics, marketing, engineering, or a related quantitative field; equivalent industry experience accepted.
  • 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, or 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.
About S&P Global Mobility

S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company. The team provides essential intelligence that shapes decision making for world‑leading organizations.

Compensation & Benefits

US applicants: base salary range $160,000 – $200,000, with variation based on location, experience, and skills. Additional annual incentive plans and company‑wide benefits are available.

Right to Work Requirements

This role is limited to individuals with indefinite right to work in the United States.

Equal Employment Opportunity (EEO)

Mobility provides equal employment opportunity 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 law. Reasonable accommodations for qualified individuals with disabilities are provided.

Additional Information

As part of our team, you’ll help solve complex challenges that equip businesses, governments, and individuals with knowledge to adapt to a changing economic landscape.

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