Senior Technical Product Manager - Data Governance Technology Platform Lead

About the Role 
We are looking for an experienced AI Product Manager to define and deliver AI-driven and agentic capabilities across enterprise data governance platforms. 
This role focuses on automation, intelligent workflows, and user-centric experiences, enabling scalable governance, improved data usability, and reduced manual effort through AI. 

What You’ll Do 

• Define and execute the roadmap for AI-enabled governance and data governance platform capabilities 

• Identify and deliver high-impact use cases, including:  

• Automated onboarding 

• Metadata enrichment and classification 

• Workflow automation and policy enforcement 

• Data discovery and recommendations 

• Design agentic workflows that:  

• Automate multi-step governance processes 

• Integrate across platforms (Databricks, Snowflake, Collibra, Glue) 

• Define requirements for:  

• LLM-powered features (search, recommendations, metadata interpretation) 

• RAG-based knowledge and discovery experiences 

• Partner with engineering and platform teams to:  

• Translate product needs into technical solutions 

• Define success metrics (accuracy, adoption, efficiency, cost) 

• Improve user experience and adoption through:  

• Simplified workflows 

• Embedded AI capabilities 

• Intuitive data discovery 

• Manage and scale a governance product delivery team  

• Partner with engineering, enterprise data office, business, and domain teams to deliver governance outcomes 

Basic Qualifications
-Technical Product Management experience

Qualifications  Required 

• 8–12+ years in product management, data governance platforms, or AI-driven products 

• Experience building or scaling data governance platform products 

• Strong product management skills:  

• Roadmap definition 

• Prioritization 

• Stakeholder alignment 

• Experience working with:  

• AI/ML or LLM-based systems 

• Data platforms (Databricks, Snowflake) 

• Metadata, governance, or workflow-driven systems 

• Ability to:  

• Define AI use cases and product requirements 

• Work closely with engineering teams to deliver solutions 

Preferred 

• Experience working with governance platforms and platform-native AI / agentic capabilities, including:  

• Governance platforms:  

• Collibra (control plane, metadata, policy management) 

• Databricks Unity Catalog (lineage, access control, governance) 

• Snowflake Horizon / Open Catalog (governance, sharing, discovery) 

• Platform AI and agentic tooling:  

• Databricks AI capabilities (e.g., Agent Bricks, ML/LLM integrations, workflow automation) 

• Snowflake AI capabilities (e.g., Cortex, AI/ML services, automation frameworks) 

• Open and interoperability frameworks:  

• Open Catalog / federated catalog approaches 

• API-driven integration across platforms 

• Metadata-driven and automation-driven governance 

• Experience with:  

• Data lineage, metadata, or quality frameworks 

• APIs and platform integrations 

• Knowledge of:  

• RAG architectures 

• Agentic workflows or orchestration patterns 

• Experience in:  

• Financial services or regulated environments 

Nice to Have 

• Experience building AI-driven automation or workflow products 

• Exposure to:  

• Data marketplace or data product models 

• Governance automation tools 

• Familiarity with evaluation frameworks for AI systems:  

• Accuracy, latency, cost, usability 

• Experience in MDM 

Success in This Role 
You will be successful if you: 

• Deliver AI-powered features that reduce manual effort and improve efficiency 

• Enable scalable, automated governance workflows across data governance platforms 

• Build products that are intuitive, reliable, and production-ready 

• You ask 'why' before 'how’ and can zoom in and out between strategic and technical perspectives. 

• You prioritize ruthlessly and measure success in terms of outcomes, not output. 

• You can tell a compelling data story to leadership & be an example of the potential of AI to transform data governance.  

• Operate as a strong partner across business and engineering 

This role requires working from a U.S. Bank location three (3) or more days per week.