AI Platform Agilist

U.S. Bank

Agilist at U.S. Bank focused on customer-centric Agile coaching and AI project delivery.

Posted 5/28/2026full-timeChicago • Illinois, Minnesota, North Carolina • 🇺🇸 United StatesSeniorLead💰 $139,230 - $163,800 per yearWebsite

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Champion Agile principles and practices across AI and data-focused teams, driving adoption and continuous improvement
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
Partner with technical teams (data science, ML engineering) and business leaders to translate AI use cases into actionable backlogs and sprint goals
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
Support prioritization of work based on business impact, technical dependencies, and data readiness
Enable collaboration across diverse teams, including data scientists, engineers, product managers, and domain experts
Remove impediments and escalate risks impacting delivery timelines or outcomes
Act as a liaison between technical and non-technical stakeholders to ensure shared understanding
Define and track Agile and AI-specific performance metrics (e.g., velocity, cycle time, model performance indicators)
Ensure AI delivery adheres to governance, compliance, and ethical standards (e.g., bias, data privacy)
Facilitate retrospectives and apply learnings to improve delivery effectiveness and team maturity
Promote data-driven decision-making and experimentation
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

Requirements

What you’ll need

8+ years of experience in Agile roles (Agilist, Scrum Master, Agile Coach, or Delivery Lead)
Proven experience in AI
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)
Expertise on the critical interdependencies among product model system elements that help and hinder performance
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

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AgileScrumKanbanSAFeAImachine learningdata-centric projectsAI/ML lifecyclemodel developmentmodel risk management

Soft Skills

coachinginfluencingcommunicationfacilitationproblem-solvingcollaborationtransparencyiterative developmentcontinuous learningteam maturity

Certifications