Director, Product Management – Client Delivery platform – Automotive Planning Solutions

Role Overview

What You Will Do

• Own end-to-end platform strategy, prioritisation, roadmap planning, success metrics, and product trade-off decisions.
• Lead and coach a team covering data presentation, dashboards, usability, AI feature productization, use-case definition, backlog, delivery, and data structuring.
• Partner with engineering and data science teams to translate business needs into technical specifications.
• Guide AI strategy and define evaluation criteria, trust boundaries, and client value for AI-powered features before launch.
• Lead discovery into client automotive-data use cases including benchmarking, trend analysis, forecasting, compliance, and decision support.
• Coordinate positioning, documentation, demos, and adoption with sales, marketing, and client success.
• Manage relationships with leadership and external clients or partners.

Key Partnerships

• Work with platform, data engineering, UX, and front-end engineering teams.
• Work with data science and AI teams on model development and evaluation.
• Partner with customer success, commercial enablement, marketing, research, and leadership stakeholders.

Required Qualifications

• Demonstrated product leadership for data-heavy platforms or analytics products.
• Solid understanding of data governance and pipeline design.
• Strong understanding of AI and ML feature productization, AI evaluation, explainability, integration, and AI connectors.
• Proven ability to manage roadmap trade-offs across technical and non-technical teams.
• Bachelor's degree or equivalent experience in Computer Science, Data Science, Engineering, Business, or a related field.
• Strong communication skills for technical and non-technical stakeholders.
• Experience in agile environments managing the full product lifecycle from discovery through delivery.

Preferred Qualifications

• Experience in the automotive ecosystem, including OEMs, suppliers, mobility or telematics, industry data, or aftermarket.
• Familiarity with automotive data domains such as vehicle attributes, manufacturing and parts data, pricing and market signals, and production or demand indicators.
• Experience delivering enterprise-grade platforms with reliability, scalability, and governance.

Benefits

• Competitive compensation package with base salary and applicable incentive opportunities.
• Comprehensive health and wellness benefits for employees and eligible dependents.
• Retirement savings programmes with company matching contributions where available.