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Capital One

Senior Director – Technical Program Management

Capital One

. Drive Capital One's AI and ML platforms supporting the company's real-time information strategy .

Posted 10/5/2026full-timeUnited StatesSenior💰 $245,100 - $335,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing technical programs with a focus on AI and ML platforms, ensuring high-reliability customer experiences while simplifying technical complexity. Proven ability to lead cross-functional collaboration and mentor fellow TPMs to build a strong TPM practice.

Highest-signal resume keywords
AI/ML Platform ManagementTechnical Program ManagementDistributed Systems DevelopmentCloud Computing (AWS)Agile Delivery Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML TrainingModel TrainingFine-TuningMonitoringScalable Platform DevelopmentRisk MitigationData-Intensive SolutionsHigh-Scale Data PlatformsSystems ThinkingTechnical Complexity Simplification
Soft Skills
Exceptional CommunicationCollaborationProblem-SolvingInfluencing SkillsEmotional Intelligence
Certifications & Qualifications
Bachelor's Degree in Technical Field
Industry Keywords
Real-Time Information StrategyMulti-Agent Conversational SystemsCustomer ExperienceTechnical Risk ManagementRegulated Environment

Tech Stack

Tools & technologies
AWSCloudDistributed Systems

About the role

Key responsibilities & impact
  • Drive Capital One's AI and ML platforms supporting the company's real-time information strategy
  • Lead AI initiatives from concept to production across the AI/ML training and production lifecycle
  • Work with agentic AI architectures, multi-agent conversational systems, LLM inference, model training, fine-tuning, and monitoring
  • Deliver high-reliability, real-time customer experiences across credit card, retail banking, auto finance, and other lines of business
  • Collaborate with researchers, engineers, business leaders, and cross-functional stakeholders
  • Identify and mitigate technical risks throughout delivery
  • Lead technology-focused discussions with senior leadership and provide insights and recommendations
  • Establish and expand the TPM discipline within the team
  • Grow and mentor fellow TPMs and build the foundations for the TPM practice
  • Simplify technical complexity and drive decisions across product, engineering, design, and data science
  • Drive execution, accountability, follow-through, and business results across teams and reporting boundaries

Requirements

What you’ll need
  • Bachelor's degree in a technical field
  • At least 9 years of experience managing technical programs
  • Strong technical background, ideally building highly scalable platforms, products, or services
  • Ability to identify and mitigate technical risks throughout the delivery lifecycle
  • Experience leading technology-focused discussions with senior leadership
  • Exceptional communication, collaboration, problem-solving, and influencing skills
  • Quantitative approach to problem solving and systems-thinking ability
  • Experience helping grow and mentor fellow TPMs and building a TPM practice
  • Ability to simplify technical complexity and drive decisions across product, engineering, design, and data science
  • Focus on execution, follow-through, accountability, and results
  • Experience collaborating across functions, organizations, and reporting boundaries
  • Highly tuned emotional intelligence, listening skills, and empathy
  • No employer immigration sponsorship or immigration-related support available
  • Preferred: 9+ years designing and building data-intensive solutions using distributed computing
  • Preferred: 5+ years building distributed systems and highly available services using cloud computing, preferably AWS
  • Preferred: 5+ years building high-scale, low-latency data platforms
  • Preferred: 5+ years of Agile delivery experience
  • Preferred: 5+ years delivering large and complex programs
  • Preferred: Experience building systems and solutions in a highly regulated environment
  • Preferred: Bachelor's degree or higher in a related technical field
  • Preferred: AI/ML software product or system development experience
  • Preferred: AI/ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents

Benefits

Comp & perks
  • Performance-based incentive compensation, including cash bonus(es) and/or long-term incentives (LTI)
  • Comprehensive health, financial, and other benefits supporting total well-being
  • Reasonable accommodations for applicants who require them