Senior Technical Product Manager - Data Governance Technology Platform Lead

U.S. BankCincinnati, OH
$148,495 - $174,700Hybrid

About The Position

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. 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.

Requirements

  • Technical Product Management experience
  • 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

Nice To Haves

  • 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
  • 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

Responsibilities

  • 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

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
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