Sr. Product Manager, Vehicle Health Alerts (VHA)

Ford Pro is transforming the future for customers and communities. They are seeking an experienced Sr. Product Manager to shape the strategy and delivery of actionable vehicle health insights for connected vehicles, bridging technical analysis and business value.

Responsibilities:

• Own the end-to-end product strategy and lifecycle for vehicle health insights, from identifying high-impact opportunities to ensuring successful delivery and adoption
• Define and implement robust validation approaches, creating statistical benchmarks to rigorously measure and prove the accuracy of our machine learning models
• Establish critical product quality metrics and confidence thresholds to determine when vehicle health insights are ready for production release to customers, dealers, or fleet managers
• Partner closely with Data Science and Engineering teams, translating complex business needs into pitches, detailed product requirement documents (PRDs) and technical roadmaps
• Articulate the value, capabilities, and limitations of our predictive models to business leaders, non-technical stakeholders, and external partners. Familiarity with AI, emerging technologies and how to apply them
• Drive all data privacy approvals for new features by collaborating with Engineering and the Office of the General Counsel (OGC) to ensure data pipelines adhere strictly to legal requirements
• Make informed prioritization decisions based on data analytics, customer feedback, and business impact to maximize vehicle uptime and improve the customer experience
• Manage weekly, and monthly product/business reporting

Requirements:

• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
• 8+ years of experience in technical product management, with a track record of launching and scaling data-intensive or AI/ML-driven products
• Experience writing detailed product requirement documents (PRDs) for complex, data-heavy features
• Demonstrated fluency in data analytics and data science principles. You don't need to build the models, but you must understand how they are built, validated, and what can go wrong
• Hands-on experience with data exploration and validation; proficiency with SQL is essential
• Proven ability to define and manage a portfolio of product quality and business metrics. You can not only define Precision/Recall but can explain the business impact of choosing one over the other
• A deep passion for or direct experience in the vehicle architecture, Telemetry and Fleet Management
• Ability to drive strategic adoption of AI-driven tools, building product roadmaps that prioritize practical, high-value outcomes and experiences over technology