As a Senior Manager, Technical Program Management (TPM) in the MLX team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering 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, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.

Our Senior Managers TPM have:

• 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

• 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

• 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

• Ability to lead a program team focused on the building of enterprise Machine Learning capabilities

• 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.

• Ability to manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing

• Ability to serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end

Basic Qualifications:

• Bachelor's degree

• At least 5 years of experience managing technical programs

• At least 5 years of experience designing and building data-intensive solutions using distributed computing

• At least 3 years of experience building highly scalable products & platforms

Preferred Qualifications:

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

• 3+ years of experience with Agile delivery

• 3+ years of 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

• 2+ years of Machine Learning experience

• Experience in building systems and solutions within a highly regulated environment

• Bachelor's degree in a related technical field (Computer Science, Software Engineering)

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

• PMP, Lean, Agile, or Six Sigma certification

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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