Senior Technical Product Manager - Data Governance Technology Platform Lead Job Atlanta area,Georgia USA,IT/Tech

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

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…