Sr Director, AI Machine Learning Platform and Engineering

Cupertino, CA, United States

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 At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

We have an exciting opportunity for the right leader to join U.S. Bank as the Sr Director of AI Machine Learning Platform and Engineering in the data engineering organization. AIML is one of the four pillars for data success here at U.S. Bank. It is a strategic focus to enable U.S. Bank to leverage latest and greatest AIML technology including Generative AI in delivering business and customer success. This position will be part of data engineering leadership and be responsible for all AIML platforms including both traditional and GenAI. This will be a hands-on senior leadership role with extensive knowledge of various data and AIML technology spanning cross AIML life cycle including but not limited to feature engineering, model development/training, model deployment, runtime, monitoring and continuous measure/refinement. The candidate is expected to have demonstrated success in leading world class engineering organization, building enterprise grade AIML platform/solution, and translating technology investment to business success.

Given the rapid pace of new technologies in Data & AIML we have an incredible opportunity for someone to join and build a technical AMIL platform and engineering organization dedicated to U.S. Bank digital success with our customers. This role will be a key leader leading our journey in building out next generation AIML platform ecosystem on cloud. The leader will partner within teams cross the company to ensure overall success with AIML for the use cases and priorities at U.S. Bank and meet compliance/regulation requirements.

This role will provide technical thought leadership to formulate and implement key technology and architecture decisions, foster and establish a strong engineering discipline along SDLC, hire and build a strong engineering organization, and be a catalyst at U.S. Bank to improve the success of AIML.

Responsibilities:

• Build a strong engineering organization by recruiting tech talents, coaching/guiding the teams cross levels, encouraging ownership and accountability, and fostering engineering culture

• Lead and contribute to AMIL strategy, roadmap, key architecture and technology decision

• Drive AIML platform and engineering execution along SDLC cycle and continue

improving SDLC success

• Champion operation success for AIML platform that meets business and customer need by taking a data driven approach with devops mindset

• Take a customer centric approach and coach/guide engineering team to

design/implement platform capabilities that leads to self-service success with

developer community

• Partner with business stakeholders, product managers, and other technical team members to define, formulate and communicate business success with

AIML portfolio

• Be a change agent/catalyst in improving U.S. Bank AMIL process and best practice

Qualifications:

• A Bachelor’s degree in Information Technology, Computer Science, Mathematics/Statistics, or related field with an emphasis on data and databases is required (Master’s degree is strongly preferred)

• At least 10 years of relevant work experience and 5+ years experience in leading engineering organization in building business critical data and AIML platform and capabilities

• Extensive working knowledge of data and AIML ecosystem, technology, and industry best practice

• Industry knowledge of solution patterns within the data domain, including working with structured and unstructured data and transactional and analytical solutions, preferably on Azure and AWS

• Demonstrated ability to develop useful, secure, reliable, and high-performing

solutions for digital success with AIML technologies

• Ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and staff

• Demonstrated experience and success in partnering with business and delivering business critical data success

• Enterprise reporting and data science/machine learning background as a plus

• Ability to communicate end to end data outcomes to all levels of the team hierarchy

• Great teamwork, “can do” attitude, exemplified ownership/accountability

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days .

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants .

Benefits:

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 (some may vary based on role, location or hours):

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

EEO is the Law

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster.

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 the E-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: $188,530.00 - $221,800.00 - $243,980.00Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need. Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.

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