Automotive Data Product Director: Strategy, AI & Scale

Automotivemastermind; United States; On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Annual incentive plan

Competitive compensation

Job summary

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.

Qualifications

• Bachelor's in business, economics, marketing, engineering, or quantitative field.
• 7-12+ years in data analytics or product management in automotive/mobility.
• Experience implementing AI in the product space.
• Proven ability to present analytics to executive stakeholders.

Responsibilities

• Own the end-to-end data product lifecycle - define strategy, outcomes, and roadmap, validating with customers.
• Collaborate with UI Product Managers to integrate data products into customer-facing offerings.
• Own multi-quarter roadmap, MVP scope, and post-MVP enhancements for readiness in 2026.
• Translate user stories and success metrics into data product requirements with Data Science.
• Support VoC activities with target personas to validate use cases and value propositions.
• Represent data product during go-to-market strategy development and training sessions.
• Establish data QA/QC requirements to understand data and modeling accuracy.

Skills

Data analytics

Product management

Pricing and incentives strategy

AI in products

Executive stakeholder communication

Education

Bachelor's degree in business, economics, marketing, engineering, or related quantitative field

Job description

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.