Product Delivery Manager

J.D. PowerOntario - Remote, ON
$90,000 - $105,000Remote

About The Position

JD Power is seeking a Product Delivery Manager to drive the strategy and execution of industry-leading automotive dealer SaaS and data products and other solutions across automotive digital retailing, lending, insurance, and dealer operations. This role is ideal for a technically grounded product leader who combines rigorous product management fundamentals with deep software engineering insight and automotive domain expertise. You will bridge the gap between business strategy and technical execution, ensuring our solutions are architected for scalability, performance, and high-impact delivery.

Requirements

  • Software Engineering, or a related technical field (or equivalent practical experience).
  • Minimum 5+ years of product management experience, with a proven track record working in a hands-on technical capacity.
  • Experience building complex SaaS, data, or analytics products within platform-based environments.
  • Strong capability to read, understand, and discuss system architecture, database design, and code-level logic with engineering teams.
  • Experience managing product backlogs and driving agile delivery processes.

Nice To Haves

  • Familiarity with dealer systems, F&I, digital retailing, automotive finance, and automotive data ecosystems/APIs is a strong asset.

Responsibilities

  • Communicate seamlessly with the engineering team at the architecture and code levels, reviewing technical designs, evaluating code-level trade-offs, and discussing API implementations with confidence.
  • Drive the end-to-end product lifecycle from discovery through technical delivery and optimization.
  • Lead product discovery efforts, defining and executing a technical product roadmap aligned with business goals and infrastructure capabilities.
  • Translate complex business problems and customer insights into robust technical requirements, system architectures, and precise user stories.
  • Partner closely with Engineering and Data Science teams to manage sprint planning, scope, timelines, and technical debt.
  • Utilize advanced analytics, data pipelines, and AI integration to build insight-driven products.
  • Monitor key performance metrics to continuously optimize product outcomes and system performance.

Benefits

  • flexible work arrangements
  • opportunities for learning and development
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