AI Insights & Enablement Leader

U.S. Bank; Minneapolis (MN); On-site; USD 150,000 - 176,000; Full time

Benefits offered by this job

401(k) plan

Paid vacation

Paid holidays

Job summary

U.S. Bank is seeking an AI Insights & Enablement Lead to join its Artificial Intelligence Center of Excellence (AI CoE) to accelerate enterprise AI adoption.

The role blends hands-on data science with strategic leadership, translating business challenges into AI use cases, developing and deploying production-grade AI solutions, and ensuring governance and responsible AI practices in a highly regulated environment.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or another quantitative discipline, or equivalent work experience.
• Eight or more years of relevant experience in data science, machine learning, artificial intelligence, advanced analytics, or related technical disciplines.
• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline preferred.
• 8+ years of experience in data science, machine learning, artificial intelligence, or advanced analytics.
• Deep expertise in machine learning, deep learning, statistical modeling, and AI solution development.
• Hands-on experience designing and deploying production AI and machine learning solutions.
• Strong experience with generative AI technologies, including LLMs, RAG architectures, prompt engineering, model evaluation, and fine-tuning methodologies.
• Experience developing AI agent solutions, orchestration frameworks, and intelligent automation capabilities.
• Proficiency in Python and modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, TensorFlow, or equivalent technologies.
• Experience with cloud-based AI and machine learning platforms.
• Demonstrated success translating AI concepts into scalable business solutions that deliver measurable outcomes.
• Experience working within highly regulated environments such as financial services, healthcare, insurance, or telecommunications.
• Strong communication, stakeholder management, and executive presentation skills, with the ability to explain complex technical concepts to diverse audiences.

Responsibilities

• Design, develop, and deploy machine learning and artificial intelligence solutions that address complex business challenges across the enterprise.
• Lead the end-to-end data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, monitoring, and optimization.
• Build, test, and refine predictive models, machine learning algorithms, and advanced analytics solutions using large and complex datasets.
• Develop scalable AI solutions that can be integrated into enterprise applications, digital experiences, and business workflows.
• Collaborate with data engineering teams to establish reliable data pipelines and ensure high-quality data assets that support AI model development and deployment.
• Evaluate solution effectiveness using statistical, machine learning, operational, and business outcome metrics to drive continuous improvement.
• Design, build, and deploy solutions leveraging Large Language Models (LLMs), foundation models, retrieval-augmented generation (RAG), and multimodal AI capabilities.
• Develop and evaluate AI agents, agent orchestration workflows, tool integrations, memory architectures, and human-in-the-loop systems that improve productivity, decision-making, and customer experiences.
• Apply advanced prompt engineering, model tuning, evaluation frameworks, and inference optimization techniques to improve model effectiveness and efficiency.
• Establish approaches for evaluating, monitoring, and maintaining GenAI solutions in production environments.
• Assess emerging generative AI and agentic AI technologies and recommend practical applications within the bank's business and regulatory environment.
• Continuously monitor emerging AI, machine learning, and data science technologies to identify opportunities for business application.
• Rapidly develop prototypes and proof-of-concepts to evaluate new technologies and demonstrate business value.
• Conduct structured experimentation, benchmarking, and model comparisons to validate use cases and optimize solution performance.
• Translate research findings, technical advancements, and industry developments into scalable AI solutions and actionable business recommendations.
• Contribute to the advancement of enterprise AI capabilities through reusable frameworks, implementation patterns, and best practices.

Skills

Python

LLMs

Prompt engineering

LangChain

LangGraph

PyTorch

Hugging Face

TensorFlow

Cloud platforms

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or equivalent

Master's or Ph.D. in related fields preferred

Job description

U.S. Bank is seeking an AI Insights & Enablement Lead to join its Artificial Intelligence Center of Excellence (AI CoE) to accelerate enterprise AI adoption.

The role blends hands-on data science with strategic leadership, translating business challenges into AI use cases, developing and deploying production-grade AI solutions, and ensuring governance and responsible AI practices in a highly regulated environment.