AI Insights & Enablement Lead

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

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

U.S. Bank is seeking an AI Insights & Enablement Lead to join the Artificial Intelligence Center of Excellence (AI CoE), a high-impact team responsible for accelerating the adoption of artificial intelligence across the enterprise.

This role is ideal for a highly technical and hands-on AI Data Scientist who thrives at the intersection of innovation, experimentation, and implementation. The successful candidate will identify opportunities to leverage emerging AI technologies, rapidly develop and test solutions, and help scale successful capabilities into enterprise-ready products and processes.

As a senior member of the AI CoE, you will work across the full AI development lifecycle, from translating business challenges into AI use cases through model development, experimentation, deployment, and performance optimization. You will collaborate closely with product, engineering, risk, and business teams to deliver AI solutions that drive measurable business outcomes while ensuring compliance with responsible AI, security, and governance standards.

The ideal candidate combines deep expertise in machine learning, generative AI, and advanced analytics with the practical ability to build, deploy, and scale solutions in a highly regulated environment. This individual remains at the forefront of emerging AI advancements and continuously evaluates new technologies to enhance U.S. Bank's AI capabilities.

Basic 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.

Preferred Qualifications

• 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.

Key Responsibilities

AI Solution Development & Applied Data Science

• 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.

Enterprise Collaboration & Technical Leadership

• Partner with product managers, software engineers, business leaders, and risk partners to identify high-value AI opportunities and deliver impactful solutions.
• Serve as a technical lead on complex AI initiatives, providing expertise in solution design, model selection, experimentation approaches, and implementation strategy.
• Communicate technical findings, insights, and recommendations to both technical and non-technical stakeholders, including senior leaders.
• Mentor data scientists, analysts, and machine learning practitioners while promoting best practices in model development, experimentation, and Responsible AI.
• Ensure AI solutions balance innovation, scalability, reliability, security, governance, and compliance requirements throughout the development lifecycle.

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:

• 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 theE-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: $149,515.00 - $175,900.00

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.

U.S. Bank is a leading commercial bank providing innovative financial solutions and personalized services across diverse sectors, recognized for its ethical practices and commitment to inclusivity.

Apply For This Role

Company U.S. Bank

Location Minneapolis, Minnesota, United States