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Added 1 min ago
Intern New Markets
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Added 5 mins ago
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- $90,000 to $110,000 USD / year
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Added 7 mins ago
Scientist II, Bioinformatics (Applications Lab)
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Added 10 mins ago
Lead Research Engineer – AI Evaluation & Benchmarking
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Added 11 mins ago
Principal Generative AI Engineering Lead - Senior Vice President
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Added 12 mins ago
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Senior/Staff Software Engineer - Tech Lead
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- $125,000 to $258,000 USD / year
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Added 13 mins ago
APPLICATIONS ANALYST
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Developer/Programmer Analyst 3
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Proficient in Python, PyTorch or equivalent deep learning frameworks.
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Familiarity with at least one technical programming language or analysis environment, such as MATLAB, Python, C, or C++.
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Software Engineer
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Experience with an interpreted language like Python or MATLAB.
Added 15 mins ago
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Added 15 mins ago
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Proficiency with Excel and PowerPoint and working knowledge of analytical and reporting tools such as SAS, SQL, Python, R, or Tableau.
Added 15 mins ago
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Director or Manager of AI Engineering
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- $175,000 to $215,000 USD / year
Strong proficiency in Python and experience building production-ready machine learning applications and services.
Added 17 mins ago
DevOps Storage Engineer
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…tools like Terraform and Ansible, backed by scripting skills in Python, Bash, or…
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Knowledge of one or more scripting languages: Python, Go, Bash

Closed listing

U.S. Bank

Technical Product Manager 3(Data Platform, Analytics & Governance)

Irving, TX, United States

Pay Range: $119,765.00 - $140,900.00

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: Pay Range: $119,765.00 - $140,900.00
Experience: 5+ years’ experience in Technical Data Product Management
Posting language: English
Posted: Sep 9, 2026

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Original job description

Archived listing. The details below describe a past opening.

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

Technical Product Managers at U.S. Bank oversee the strategic product management for an assigned technical product line(s) in support of the Enterprise organization’s goals and market needs. The Technical Product Manager engages with key stakeholders to define, document, and prioritize features; ensures delivery of marketable capabilities for all U.S. Bank engineering teams while collaborating with agile teams.

As a Technical Data Product Manager, you will:

Aligns the strategic vision with cross-functional stakeholders to shape outcome-based product roadmap, product risk, investment areas and success measures.
Drives product development with ownership of backlog and actively engages cross-functional stakeholders to enable faster speed to market.
Manages across Enterprise users to define and deliver product performance goals (e.g., outcomes, customer experience, etc.).
Owns all engagement for assigned technical portfolio regarding the SDLC, e.g., adoption, collaboration.
Develops, analyses, monitors, and reports on performance metrics from internal and external sources to identify key trends and opportunities for continuous improvement. Uses performance metrics to drive towards progress on identified strategies and initiatives.
Lead disciplined defect management and issue prioritization processes that continuously improve data quality and consumer confidence.
Define and track key product health metrics, adoption metrics, service levels, and quality indicators.
Leverages OKRs (Objectives and Key Results) to drive roadmap priorities.

Key Responsibilities:

Define and execute the product vision, roadmap, and strategic direction for AC360, ensuring alignment with enterprise data strategy and business objectives.
Establish and maintain clear ownership boundaries between enterprise-managed customer and relationship data and domain-owned data products.
Partner with engineering, architecture, and platform teams to evaluate technical solutions, tradeoffs, dependencies, and modernization opportunities.
Translate business requirements into actionable product capabilities, user stories, acceptance criteria, and measurable outcomes.
Prioritize and manage the product backlog, balancing new feature development, technical debt reduction, defect remediation, governance needs, and operational stability.
Lead enterprise data governance initiatives by collaborating with Data Office, MDM, architecture, and business stakeholders to improve data quality, lineage, controls, and compliance.
Drive proactive risk management by identifying impacts from upstream system changes, schema modifications, pipeline enhancements, and platform evolution.
Define and monitor product performance metrics, adoption measures, service levels, operational health indicators, and consumer satisfaction metrics to continuously improve product value.

Basic Qualifications:

5+ years’ experience in Technical Data Product Management
Bachelor’s degree or equivalent experience

Required Skills/Experience:

Technical Product Management Experience; Experience defining product strategy, roadmaps, backlogs, requirements, acceptance criteria, and product success measures. Experience with tools like JIRA, Confluence .
Clear written and verbal communication across both deeply technical and business-facing discussions.
Strong Data Analytics Skills with Tools like SQL, Python, Spark etc.
A working understanding of data engineering and architecture sufficient to engage credibly with engineers and architects.
Strong knowledge on data architecture, modeling, data pipelines, data quality, lineage, metadata, governance , and dependency management.
Ability to assess technical choices through the lenses of customer value, scalability, maintainability, operational risk, and control.

Preferred Skills/Experience:

Familiarity with modern cloud and analytics platforms, including Databricks , distributed data processing, and enterprise data platform modernization initiatives.
Excellent communication, stakeholder management, and strategic thinking skills with the ability to translate complex technical concepts into business outcomes.
Experience managing technically complex data products, enterprise data platforms, or analytics products.
Strong judgment in balancing strategic product development with production support and operational stability

Location expectations:

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 (https://careers.usbank.com/global/en/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 (https://careers.usbank.com/global/en/benefits/us) .

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 (https://careers.usbank.com/verification-of-eligibility-for-employment) .

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: $119,765.00 - $140,900.00

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.

About employer

More about this job

Skills

Google Analytics
Customer experience
Collaboration
Process improvement
Prioritization
Mobile device management
Regulatory compliance
Risk management
Atlassian JIRA
Atlassian Confluence
Communication skills
Data analysis
SQL
Python
Apache Spark
Data engineering
Databricks
Process data
Stakeholder management

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