Senior Technical Product Manager - Data Governance Technology Platform Lead

Reposted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
148K-175K Annually
Senior level
Fintech
The Role
Lead the design, build, and scaling of an enterprise data governance platform integrating Collibra, Snowflake, and Databricks Unity Catalog across multi-cloud and on-prem environments. Define governance frameworks for lineage, metadata, quality, access, and compliance; drive API-driven automation, interoperability standards, and adoption; partner with engineering, risk, and business stakeholders to deliver measurable KPIs, roadmaps, and executive reporting.
Summary Generated by Built In

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 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.

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.

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. Learn more about the E-Verify program.

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.

Skills Required

  • Technical Product Management experience
  • 12-15+ years in data governance, enterprise data management, or platform architecture leadership roles
  • Expert knowledge of metadata management, data lineage, data quality, compliance, and enterprise governance frameworks
  • Hands-on proficiency with Collibra, Snowflake, Databricks Unity Catalog, and related governance ecosystem technologies
  • Proven experience architecting and governing multi-cloud environments (AWS and Azure) and hybrid/on-prem integrations
  • Experience designing API-driven integrations, automation workflows, and governance engineering patterns
  • Background in building governed data marketplaces, secure data exchange models, entitlement frameworks, and data contracts
  • Experience defining governance standards for data products and enterprise data sharing ecosystems
  • Experience with cost optimization, budgeting, and financial governance for platform ecosystems
  • Proven product leadership including vision setting, roadmap development, and backlog management
  • Strong stakeholder management skills with ability to influence across technical, business, and executive domains
  • Demonstrated success driving governance adoption in large, complex organizations
  • Experience delivering strategic roadmaps, KPIs, and modernization outcomes at scale
  • Exceptional communication skills with experience presenting to and influencing executive stakeholders
  • Experience with AI-driven governance automation (enrichment agents, lineage inference, data quality intelligence)
  • Expertise on interdependencies among product model system elements, metrics design, service blueprints, and reusability
  • Deep understanding of product technical architecture and economics of technical investments
  • Experience creating personas, story maps, product chartering/mapping (customer research)
  • Preferred certifications: Databricks Unity Catalog/Governance training, Collibra Ranger, CDMP/DCAM, Snowflake or cloud governance certifications

US Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.

  • Retirement Support The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
  • Leave & Time Off Breadth Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
  • Healthcare Strength Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.

US Bank Insights

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The Company
HQ: Minneapolis, MN

What We Do

We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.

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