Technical Data Product Management

Ford Ford · Auto · Dearborn, MI +2 · PD Operations and Quality

Product Manager for a Data Quality Platform within Ford Pro Intelligence, focusing on ensuring trusted data health for fleet management services. The role involves defining metrics, driving adoption of the platform, and collaborating with engineering and business teams.

What you'd actually do

  1. Own the roadmap and execution of the Data Quality monitor.
  2. Define and evolve standard, certified metrics for product health and data quality, prioritized by business impact
  3. Product-manage the Data Quality Monitor as a platform, not a collection of reports.
  4. Drive adoption and usability so teams can independently answer questions without ad-hoc support.
  5. Provide product leadership for complex investigations and triage, driving root cause resolution and long-term platform improvements rather than repeated manual intervention

Skills

Required

  • Bachelor's degree in Computer Science, Engineering, or a technical field
  • 5+ years of overall technical or industry experience
  • at least 2-3 years specifically in Product Management
  • Strong ability to work with large-scale datasets (e.g., SQL, Python)
  • Experience leveraging analytics or AI-enabled tools to augment workflows and analysis, or building strong data quality foundations that enable future AI/ML-driven products
  • Experience defining, reviewing, or partnering on product health dashboards using analytics and reporting tools (e.g., Looker Studio, Amplitude, Power BI).
  • Experience collaborating closely with cross-functional engineering and analytics teams to deliver and validate data products.
  • Ability to quantify systemic vs one-off issues.
  • Excellent problem-solving and analytical skills, with a keen eye for detail.

Nice to have

  • Master's degree in Computer Science, Engineering, or a related field of study
  • Experience working with connected devices, including data ingestion, orchestration, and telemetry-based insights.
  • Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

What the JD emphasized

  • at least 2-3 years specifically in Product Management
  • large-scale datasets
  • data quality foundations that enable future AI/ML-driven products