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Senior Technical Product Manager - Data Governance Technology Platform Lead

$148.5k - $174.7k

U.S. Bancorp

AI Product Manager

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

  • 812+ 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:
        • Colliba (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.

      If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

      Benefits:

      • 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

      U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

      The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $148,495.00 - $174,700.00

U.S. Bancorp
Vacancy posted 4 days ago
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