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Strong employer brand but senior, specialized data-platform product reduces candidate pool, so medium competition.
Role requires deep data-platform, computer vision, and enterprise product experience, limiting cross-industry transferability.
Explicit 8+ years, domain-specific platform, AI/vision, and managerial requirements make shortlisting highly strict.
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Lead product strategy and execution for the Vision Intelligence Platform, developing AI/ML-driven solutions to automate recall and Field Service Action identification and diagnosis.
Own and scale ingestion pipelines for structured databases (Oracle, SQL Server, PostgreSQL, DB2) and unstructured data (Video, Audio, PDF, PPT) supporting enterprise data platforms and vision intelligence applications.
Lead development and integration of Ford's unified Enterprise Data Platform Console encompassing Data Catalog, Lightspeed, Semantic Layer Hub, Ask EDP, Cost Optimization, and platform analytics.
8+ years of experience in data product management, platform engineering, or enterprise data architecture with proven leadership managing direct reports.
Hands-on experience with structured data ingestion from Oracle, SQL Server, PostgreSQL, DB2 and unstructured data pipelines (Video, Audio, PDFs, presentations).
Demonstrated use of AI-powered product management tools such as generative AI for PRDs and automated user feedback analysis.
Experience managing unified developer/data consoles, AI/ML model deployment; familiarity with computer vision or anomaly detection in manufacturing/quality systems preferred.
Experienced in driving AI/ML-based product initiatives targeting automation and anomaly detection in enterprise quality and recall domains.
Skilled in integrating multiple complex data products into cohesive unified platforms with advanced analytics and cost optimization features.
Proficient in applying modern AI-driven product management methodologies to coach teams and enhance product discovery, delivery, and prioritization workflows.