Architect Product Strategy for Technical Platforms: Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives.
Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems.
Manage Complex Data Platform Initiatives: Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations.
Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and Epic level stories.
Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment.
Requirements
Bachelor's degree in Technology or Business related field (Master's preferred).
5-7+ years of experience in technical product management, solutions architecture, or software engineering.
5+ years in product management roles with demonstrated end-to-end product ownership.
3-5+ years of experience with AI/ML products, Generative AI, or data platform development.
3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies.
Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies.