Director of Data Product Management

In this role, you will lead the development and management of an enterprise-scale, agentic AI ecosystem designed to streamline complex business processes through intelligent automation. This solution will be structured across six interconnected pods, each focused on a critical layer of the system—data federation, orchestration, reasoning, governance, activation, and experience delivery. The role requires understanding of data warehousing, AI system design, and cloud-native architecture to drive the strategic direction and execution of the organization’s AI-driven data product roadmap.

Responsibilities:

• Define and execute the vision, strategy, and roadmap for AI-powered and federated data products, aligning agentic system capabilities with business goals and operational efficiency.
• Lead a team of product managers and collaborate closely with engineering, data science, and AI research teams to deliver scalable, intelligent, and autonomous data systems.
• Develop and oversee six specialized pods responsible for AI agent orchestration, data integration, warehousing, and decision intelligence.
• Conduct market research, competitive analysis, and internal assessments to identify opportunities for applying agentic AI to real-world business processes.
• Drive the entire product lifecycle from concept to deployment, including feature prioritization, orchestration design, and go-to-market planning for AI-driven data solutions.
• Partner with cloud and data platform providers (e.g., AWS, Azure, Google Cloud, Snowflake) to optimize data federation, model performance, and scalability.
• Define and manage architecture patterns for data warehousing and federation, ensuring seamless data interoperability across multi-cloud and hybrid environments.
• Establish metrics for AI agent performance and continuously improve outcomes through feedback loops, data-driven insights, and reinforcement learning principles.
• Ensure compliance with data privacy regulations, AI governance standards, and ethical best practices in intelligent data management.
• Collaborate with sales and customer success teams to support product adoption, satisfaction, and revenue growth through AI-enabled automation and analytics.
• Act as a thought leader in AI systems and data federation strategy, contributing insights through industry publications, panels, and conferences.