AI Agilist

Reposted 6 Hours Ago
Be an Early Applicant
3 Locations
In-Office
139K-164K Annually
Senior level
Fintech
The Role
Coach and lead AI-focused product teams in Agile frameworks, enable iterative delivery of AI/ML solutions, translate AI use cases into backlogs, remove impediments, enforce governance and ethical standards, track AI and Agile metrics, and drive enterprise Agile transformation and continuous improvement.
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
Job Description

Agilists at U.S. Bank are customer obsessed with a focus on serving product teams, ensuring all product vision, planning and development activities are rooted in Agile and Product Values & Principles. Agilist enables the organization to consistently experiment and evolve business strategy based on prior outcomes and feedback. They drive culture change through day to day to work with a focus on Agile & Product mindset, values and continuous improvement and keep the team focused on achieving product goals using agile methods. As an Agilist, you will:

Agile Leadership & Coaching

  • Champion Agile principles and practices across AI and data-focused teams, driving adoption and continuous improvement [tkagile.com]

  • Coach product owners, engineers, and business stakeholders on Agile frameworks such as Scrum, Kanban, or SAFe

  • Facilitate core Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives) to ensure effective team execution

  • Foster a culture of transparency, collaboration, and iterative delivery across cross-functional teams

AI Project Delivery Enablement

  • Partner with technical teams (data science, ML engineering) and business leaders to translate AI use cases into actionable backlogs and sprint goals [linkedin.com]

  • Guide teams in delivering AI/ML solutions iteratively, accounting for experimentation, model training, and validation cycles

  • Align delivery plans with business objectives, ensuring AI initiatives provide measurable value [aicareerfinder.com]

  • Support prioritization of work based on business impact, technical dependencies, and data readiness

Cross-Functional Collaboration

  • Enable collaboration across diverse teams, including data scientists, engineers, product managers, and domain experts [linkedin.com]

  • Remove impediments and escalate risks impacting delivery timelines or outcomes

  • Act as a liaison between technical and non-technical stakeholders to ensure shared understanding

  • Metrics, Governance, and Continuous Improvement

  • Define and track Agile and AI-specific performance metrics (e.g., velocity, cycle time, model performance indicators) [linkedin.com]

  • Ensure AI delivery adheres to governance, compliance, and ethical standards (e.g., bias, data privacy) [linkedin.com]

  • Facilitate retrospectives and apply learnings to improve delivery effectiveness and team maturity

  • Promote data-driven decision-making and experimentation

Organizational Change & Transformation

  • Support enterprise Agile transformation efforts, particularly within AI and digital initiatives

  • Influence leaders and stakeholders to adopt Agile ways of working and AI-enabled delivery models

  • Drive mindset shifts toward iterative development, experimentation, and continuous learning

Basic Qualifications 

  • Agile product development, agile coaching, agile portfolio management experience

Skills Should Include

  • 8+ years of experience in Agile roles (Agilist, Scrum Master, Agile Coach, or Delivery Lead)

  • Proven experience as an Agilist in an AI Platform team.

  • Proven experience supporting or leading AI, machine learning, or data-centric projects

  • Strong understanding of Agile frameworks (Scrum, Kanban, SAFe)

  • Experience working with cross-functional technical teams, including data scientists and engineers

  • Demonstrated ability to coach teams and influence stakeholders at multiple levels

  • Strong communication, facilitation, and problem-solving skills

  • Agile certification (e.g., Certified Scrum Master, SAFe Agilist, ICP-ACC)

  • Familiarity with AI/ML lifecycle concepts (model development, training, validation, deployment)

  • Experience with AI governance, responsible AI, or model risk management

  • Exposure to Agile tools (e.g., Jira, Azure DevOps) and data/AI platforms

  • Expertise on the critical interdependencies among product model system elements that help and hinder performance; ability to plan and design solutions that synchronize resources to achieve business results using business metrics, key performance indicators, design systems, service blueprints, and reusability-Demonstrates deep understanding of target customer through internal/external research and discovery (e.g., creation of personas, story maps, product chartering/mapping experience)

  • Strong collaboration with product managers and software engineers to execute product vision and roadmap-Facilitation of cross-functional human-centered design sessions to build empathy for users, create alignment on customer pain-points, and to identify continuous improvements for the product roadmap-Preferred skills: product strategy, vision and planning, product discovery, product development, channel alignment and management, adoption, performance measurement and optimization, marketing and analytics

 Preferred Skills/Experience

  • Agile certification (e.g., Certified Scrum Master, SAFe Agilist, ICP-ACC)

***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: $139,230.00 - $163,800.00

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

  • Agile product development, agile coaching, agile portfolio management experience
  • 8+ years of experience in Agile roles (Agilist, Scrum Master, Agile Coach, Delivery Lead)
  • Proven experience as an Agilist in an AI Platform team
  • Proven experience supporting or leading AI, machine learning, or data-centric projects
  • Strong understanding of Agile frameworks (Scrum, Kanban, SAFe)
  • Experience working with cross-functional technical teams, including data scientists and engineers
  • Demonstrated ability to coach teams and influence stakeholders at multiple levels
  • Strong communication, facilitation, and problem-solving skills
  • Agile certification (e.g., Certified Scrum Master, SAFe Agilist, ICP-ACC)
  • Familiarity with AI/ML lifecycle concepts (model development, training, validation, deployment)
  • Experience with AI governance, responsible AI, or model risk management
  • Exposure to Agile tools (e.g., Jira, Azure DevOps) and data/AI platforms
  • Expertise on interdependencies among product/model system elements, product discovery, personas, story maps, and service blueprints
  • Work from a U.S. Bank location three or more days per week
  • Product strategy, vision and planning, product discovery, adoption, performance measurement, marketing and analytics

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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