Director of GenAI & Enterprise TPM Programs

Capital One; Cambridge (MA); On-site; USD 230,000 - 263,000; Full time

Job summary

Capital One is seeking a Director of Technical Program Management to drive large-scale AI/GenAI initiatives, aligning technical execution with business goals in a regulated enterprise environment. The role emphasizes collaboration with world-class researchers, engineers, and stakeholders to productionize advanced AI models.

You will lead TPM strategy, mature the TPM discipline within the team, and manage risks, costs, and delivery velocity across multiple engineering teams, with a focus on

Qualifications

• Bachelor's degree in a technical field.
• At least 7 years of experience managing technical programs.
• Experience designing and building solutions using distributed computing or SOA.

Responsibilities

• Contribute to the TPM/Delivery strategy and tooling that scales across portfolios.
• Drive program roadmap anchored in business objectives and sequencing of dependencies.
• Lead cross-platform investment planning with architectural alignment toward platform convergence.
• Serve as an executive escalation point for program risks with data-driven tradeoffs.
• Define measurable outcomes of platform success and ensure multi-team delivery accountability.

Skills

Program management

Executive communication

Agile delivery

Distributed systems

Strategic thinking

Cross-functional leadership

Education

Bachelor's degree in a technical field

MBA or Master’s Degree in a related technical field

PMP / Lean / Agile / Six Sigma certification

Tools

AWS

Job description

Capital One is seeking a Director of Technical Program Management to drive large-scale AI/GenAI initiatives, aligning technical execution with business goals in a regulated enterprise environment. The role emphasizes collaboration with world-class researchers, engineers, and stakeholders to productionize advanced AI models.

You will lead TPM strategy, mature the TPM discipline within the team, and manage risks, costs, and delivery velocity across multiple engineering teams, with a focus on