Director, Technical Program Management (AI/ML Products)

Capital One•San Jose, CA

About The Position

Director, Technical Program Management (AI/ML Products) Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One: At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best-in-class technology. That’s where you come in. About the team: As a Director of Technical Program Management (TPM) within Capital One’s Intelligent Foundations and Experiences (IFX) AI/ML organization, you will help us build robust, scalable platforms that enable state of the art AI capabilities for both customer-facing and internal applications. These platforms are the foundational blocks upon which Capital One’s Credit Card, Retail Banking, and Auto Finance lines of business (LOBs) build delightful AI experiences for our customers, developers, and internal stakeholders. Beyond leading technical programs, you will pave the way for an expanding TPM discipline by leveraging your industry expertise to demonstrate the high-impact value a great TPM achieves. Our TPM Directors have: Lead a program team building enterprise Machine Learning capabilities Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Managed program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Served as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end The ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on results through execution, follow-through, accountability. Strong technical backgrounds building highly scalable platforms, products, or services with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners

Requirements

Bachelor's degree
At least 7 years of experience managing technical programs
At least 3 years of Machine Learning experience
Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc.

Nice To Haves

10+ years of technical program management experience
7+ years of experience designing and building data-intensive solutions using distributed computing
3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS
3+ years experience building highly scalable mobile products & platforms
3+ years of experience with Agile delivery
3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact
Experience in building systems & solutions within a highly regulated environment
Bachelor's degree in a related technical field (Computer Science, Software Engineering)
MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience

Responsibilities

Lead a program team building enterprise Machine Learning capabilities
Managed program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing
Served as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end
The ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives
Deep focus on results through execution, follow-through, accountability.
Strong technical backgrounds building highly scalable platforms, products, or services with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle
Exceptional communication and collaboration skills
Excellent problem solving and influencing skills
A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker
Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners