Enterprise Data Platform Product Manager

You will drive robust ingestion capabilities for structured data (Oracle, SQL Server, PostgreSQL, DB2) and unstructured data (Video, Audio, PDF, PPT). You will also act as the product leader for the EDP Console , an amalgamation of our data products (Data Catalog, Lightspeed, Semantic Layer Hub, Ask EDP, Cost Optimization, and more) into a single pane of glass. Crucially, you will leverage our unstructured ingestion capabilities to build and scale the Vision Intelligence Platform .

By unifying fragmented vision systems and developing advanced models, you will tackle critical business challenges—specifically automating manual processes to identify recall populations, enabling faster diagnosis, and proactively addressing the growing volume of Recalls and Field Service Actions (FSAs). As a torchbearer for modern product management, you will also champion AI-driven PM practices across your organization, upskilling your team to leverage Generative AI and advanced tools to accelerate product discovery, delivery, and user feedback analysis. • 8+ years of experience in data product management, platform engineering, or enterprise data architecture, with a proven track record of managing direct reports. • Modern PM & AI Skills: Demonstrated experience using AI-powered product management tools (., Generative AI for drafting PRDs, AI-driven backlog grooming, automated user feedback analysis) and a passion for upskilling teams in these technologies. • Proven track record of managing Data Ingestion platforms, unified developer/data consoles, or AI/ML model deployment. • Experience with Computer Vision use cases, anomaly detection models, or manufacturing/quality systems is highly preferred. • Deep understanding of structured databases (Oracle, SQL Server, PostgreSQL, DB2) and experience building pipelines for unstructured data (Video, Audio, PDF, Document processing). • Experience integrating diverse data products (Data Catalogs, Semantic Layers, Data Quality tools) into a unified user interface. • Strong knowledge of FinOps, cloud cost optimization, and platform analytics (measuring adoption, usage, and relevancy). • Exceptional stakeholder management and communication skills, with the ability to align business, engineering, and quality/governance teams. undefined