Data Platform Security & Governance Leader

U.S. Bank

USonsite$148k-$175k/yrPosted Jun 25, 2026

Skills

classificationdatabrickssnowflakeexcelzoomllmml

About the role

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

About 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

Define requirements for:

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

Embedded AI capabilities

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:

Workflow automation

Metadata or governance automation

LLM or AI-driven capabilities

Strong understanding of:

Data governance concepts (metadata, lineage, access controls)

Data structures and semantic consistency

Experience defining:

Product roadmaps

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)

Experience designing:

Agentic workflows or multi-step automation

AI-driven governance or data platform capabilities

Familiarity with:

API-driven integrations

Metadata-driven automation

Federated or open catalog frameworks

Nice to Have

Experience building AI-driven governance or workflow solutions

Exposure to:

Data product or data marketplace models

Governance automation frameworks

Familiarity with evaluating AI systems:

Accuracy, latency, cost, usability

Experience in MDM

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.

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:

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.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.

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. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

Compensation

This Security Engineer role pays $148k-$175k/yr. Within typical range for security engineer roles in United States.

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