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Tier-1 brand, metro location, and popular product title increase competition, but senior niche requirements moderate density.
Requires deep data platform, computer vision, and enterprise ingestion experience, limiting cross-industry transferability.
Explicit 8+ years, domain-specific AI/data/product leadership and mandatory technical integration skills enforce strict filters.
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Own and lead the development of scalable enterprise data ingestion capabilities for both structured (Oracle, SQL Server, PostgreSQL, DB2) and unstructured data (Video, Audio, PDF, PPT).
Drive the Vision Intelligence Platform by unifying vision systems and deploying AI/ML models for automating recall identification, faster diagnosis, and anomaly detection to address recalls and Field Service Actions.
Architect and manage the EDP Console, integrating multiple data products into a single unified platform, including features for data catalog, semantic layers, platform analytics, and FinOps-driven cost optimization.
8+ years of experience in data product management, platform engineering, or enterprise data architecture with proven management experience.
Demonstrated experience with AI-powered product management tools and applying Generative AI in product workflows.
Proven experience managing data ingestion platforms, unified developer/data consoles, or AI/ML model deployment.
Deep knowledge of structured databases (Oracle, SQL Server, PostgreSQL, DB2) and building pipelines for unstructured data types like Video, Audio, PDF, and Document processing.
Strategic product leader with experience integrating diverse data products (Data Catalogs, Semantic Layers, Data Quality tools) into unified user interfaces.
Experience with computer vision use cases, anomaly detection models, or manufacturing/quality domain systems.
Expertise in FinOps, cloud cost optimization, and platform analytics to measure adoption and usage, with strong stakeholder management skills across business, engineering, and governance teams.