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Capital One · 10 hours ago

Sr. Director, Technical Program Management (AI/ML)

San Francisco, CA

Full-time

Onsite

Senior Level, Lead/Staff

$240K/yr - $274K/yr

9+ years exp

Capital One is changing banking for good by fostering a world where everyone has an equal opportunity to prosper. They are seeking a Sr. Director of Technical Program Management to lead programs that deliver on critical business goals and build large scale products and platforms, focusing on enhancing customer experiences through innovative technology solutions.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

Responsibilities

Lead programs that deliver on critical business goals and build large scale products & platforms

Help build solid platforms on mobile and web surfaces

Pave the way for an expanding TPM discipline within the team

Identify and mitigate technical risks throughout delivery life-cycle

Build and lead a world-class team of technical program managers

Lead technology focused discussions with senior leadership

Provide valuable insights and recommendations that guide technology-based decisions

Simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives

Grow and develop a team of TPMs

Drive execution, follow-through, accountability, and results

Collaborate across different functions, organizations, and reporting boundaries

Qualification

Technical Program ManagementMachine LearningDistributed SystemsCloud ComputingAgile DeliveryCross-Functional CollaborationCommunication SkillsProblem SolvingEmotional Intelligence

Required

At least 9 years of experience in technical program management

Bachelor's degree

Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle

Experience building and leading a world-class team of technical program managers with a mission to power real-time, intelligent experiences for our customers and associates

Lead technology focused discussions with senior leadership by providing valuable insights and recommendations that guide technology-based decisions

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

Experienced TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice

Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives

Deep focus on execution, follow-through, accountability, and results

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

Preferred

9+ years of experience designing and building data-intensive solutions using distributed computing

At least 2 years of experience with the full ML development lifecycle using modern technology in a business critical setting. 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

5+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS

5+ years experience building highly scalable mobile products & platforms

5+ years of experience with Agile delivery

5+ 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)

ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

MBA or Master's Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience