Job DescriptionAbout the Role
We are looking for an experienced AI Product Manager with strong expertise in Databricks and Snowflake platforms to define and deliver AI-driven and agentic capabilities across enterprise data governance platforms.
This role focuses on platform-native AI, governance automation, intelligent workflows, and strong data foundations, enabling scalable governance and improved data usability.
What You'll Do - Define and execute the roadmap for AI-enabled governance capabilities across Databricks and Snowflake platforms
- Identify and deliver high-impact use cases, including:
- Automated governance onboarding and assessments
- Metadata enrichment, classification, and tagging
- Lineage insights and recommendations
- Workflow automation and policy enforcement
- Design agentic workflows that:
- Automate governance processes across data products
- Leverage platform-native capabilities in Databricks and Snowflake
- LLM-powered features (search, recommendations, metadata interpretation)
- RAG-based discovery and knowledge experiences
Drive platform-native implementation by:
- Leveraging Databricks (Unity Catalog, Agent Bricks, Genie, AI/ML capabilities)
- Leveraging Snowflake (Horizon, Open Catalog, Cortex AI capabilities including Cortex, Coco app, and application-based governance workflows)
- Partner with engineering and platform teams to:
- Translate product needs into scalable solutions
- Define success metrics (accuracy, adoption, cost, performance)
- Improve user experience through:
- Simplified governance workflows
- Intuitive discovery and access experiences
- 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 platforms, or AI-driven products
- Strong experience with data platforms:
- Databricks (Unity Catalog, pipelines, governance) or
- Snowflake (Horizon, Open Catalog, data sharing, governance)
- Strong working knowledge of data modeling:
- Conceptual, logical, and physical data models
- Understanding of entities, relationships, and key metrics
- Ability to translate business requirements into data structures
- Experience building AI-enabled platform features, including:
- Metadata or governance automation
- LLM or AI-driven capabilities
- Data governance concepts (metadata, lineage, access controls)
- Data structures and semantic consistency
- Use cases and feature prioritization
- Success metrics and adoption goals
- Ability to work closely with engineering teams to deliver production solutions
Preferred - Experience working with governance platforms and platform-native AI / agentic capabilities, including:
- Collibra (control plane, metadata, policy management)
- Databricks Unity Catalog (lineage, access, governance)
- Snowflake Horizon / Open Catalog (governance, sharing, discovery)
- Databricks AI tooling (e.g., Agent Bricks, ML/LLM integrations)
- Snowflake AI capabilities (e.g., Cortex, automation frameworks)
- Agentic workflows or multi-step automation
- AI-driven governance or data platform capabilities
- Metadata-driven automation
- Federated or open catalog frameworks
Nice to Have - Experience building AI-driven governance or workflow solutions
- Data product or data marketplace models
- Governance automation frameworks
- Familiarity with evaluating AI systems:
- Accuracy, latency, cost, usability
- Experience in regulated environments
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. Benefits:Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
Posting may be closed earlier due to high volume of applicants. 
