Machine Learning Engineering Director

U.S. Bank • Minneapolis, MN

1d • $159,970 - $188,200 • Hybrid

About The Position

Machine Learning Engineering Director leads the strategy, architecture, and delivery of models at the enterprise level for various use cases. This group enables predictive analytics and data driven decisioning. This role is responsible for building and scaling secure, resilient, and high-performing platforms that enable enterprise-wide AI adoption. The Engineering Director oversees a team of engineers, ensuring strong execution, operational discipline, and alignment with enterprise standards for risk, compliance, and responsible AI.

Requirements

• Bachelor's degree, or equivalent work experience
• 10 or more years of relevant software engineering experience
• Six or more years of experience leading multiple software engineering teams
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum 5 years of experience managing engineering teams, including direct oversight of engineering managers and senior technical staff.
• 10+ years of experience in software engineering, platform engineering, or related disciplines.
• Proven experience designing and delivering large-scale, distributed systems and cloud-native platforms (Azure and/or AWS).
• Working knowledge of AI/ML and GenAI concepts, including familiarity with LLMs, RAG architectures, and AI application integration (deep specialization not required).
• Familiarity with MLOps practices, including CI/CD concepts for models, monitoring, and lifecycle considerations.
• Experience implementing enterprise-grade security, compliance, and data governance frameworks.
• Demonstrated ability to influence and partner with senior technology and business leadership.

Nice To Haves

• Experience supporting or partnering on AI/ML or GenAI platform initiatives.
• Familiarity with Responsible AI, model risk management, or regulatory considerations.
• Experience with API-first platforms and event-driven architectures.
• Background in financial services or other highly regulated industries.
• Experience leading geographically distributed and multi-vendor engineering teams.

Responsibilities

• Lead the vision, architecture, roadmap, and provide technical leadership across multiple engineering teams; develop engineering managers and senior engineers while establishing standards, guardrails, and governance models.
• Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability, reliability, performance, and cost optimization.
• Ensure alignment with enterprise requirements for security, data privacy, compliance, and Responsible AI practices.
• Drive cross-functional collaboration with product, risk, security, and business stakeholders to enable secure and scalable AI adoption.
• Maintain strong awareness of team delivery, technical issues, and platform risks; step in to review designs, code, and architectural decisions as needed.
• Ensure Agile practices are consistently followed, including sprint planning, backlog refinement, and delivery tracking.
• Enforce operational rigor across teams, including keeping Jira artifacts current, transparent, and aligned to priorities.
• Provide ongoing feedback on team performance, resource allocation, and organizational effectiveness to optimize delivery outcomes.
• Manage core people leadership responsibilities, including addressing HR-related matters, supporting employee development, and ensuring team engagement.
• Ensure continuity of delivery through appropriate backup coverage, resource planning, and support during team member absences.
• Oversee administrative responsibilities such as time tracking and compliance with enterprise processes (e.g., timesheets, reporting).
• Continuously identify and drive improvements to increase team velocity, reduce friction, and accelerate platform delivery.

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: Director