AI Platform Agilist

U.S. Bank • Chicago, IL

2d • $139,230 - $163,800 • Hybrid

About The Position

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.

Requirements

• 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
• 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

Nice To Haves

• Agile certification (e.g., Certified Scrum Master, SAFe Agilist, ICP-ACC)
• product strategy, vision and planning, product discovery, product development, channel alignment and management, adoption, performance measurement and optimization, marketing and analytics

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed