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Senior Director – Technical Program Management
Capital One. Drive Capital One's AI and ML platforms supporting the company's real-time information strategy .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSCloudDistributed 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