About the Role
At Capital One, Machine Learning (ML) is seen as the biggest opportunity in financial services today, with the potential to revolutionize the industry. Capital One’s commitment to Machine Learning is supported by the CEO, Board of Directors, and the executive committee. The Machine Learning Experience (MLX) organization is central to this effort, leading the development and delivery of platforms and intelligent customer experiences that supercharge responsible ML across Capital One.
As a Director of Technical Program Management (TPM) on Capital One’s Enterprise Data Machine Learning team, you will execute on high-priority enterprise-level initiatives, influence across the organization, and drive the implementation of the Machine Learning strategy. You will partner closely with product, engineering, data scientists, and other cross-functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, and efficient ML products and platforms. This role requires big-picture thinking, strategic direction, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
Responsibilities
- Lead a program team focused on building enterprise Machine Learning capabilities.
- Partner directly with product, engineering, and data science functions to align and drive prioritization and critical decision-making with internal partners and stakeholders to deliver high-impact business outcomes.
- Use strong technical and business acumen to proactively identify and resolve risks and dependencies that could prevent successful program execution.
- Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing.
- Demonstrate a proven track record of technical program management and scale TPM impact across the MLX organization.
- Instill a culture of compassion and high performance that reflects Capital One's core values.
- Hire, groom, and grow TPM talent on the team.
- Build strong relationships and lead through influence with teams across the work.
- Serve as the connective tissue across functions and business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers end to end.
Our Directors Have
- Strong technical background (ideally building Enterprise-level ML platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout the delivery life-cycle.
- Exceptional communication and collaboration skills.
- Excellent problem-solving and influencing skills.
- Systems thinker, a quantitative approach to problem solving, and a collaborative implementer to holistic solutions.
- 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, a good listener, and deep-seated empathy for teams and partners.
Basic Qualifications
- Bachelor’s Degree
- At least 7 years of technical program management experience
- At least 5 years of people management experience in program management
Preferred Qualifications
- Master's degree
- 10+ years of technical program management experience
- 7+ years of people management experience
- 3+ years of AWS experience
- 3+ years of Machine Learning experience
- PMP, Lean, Agile, or Six Sigma certification