Senior Manager, Technical Program Manager - Machine Learning

Senior Manager, Technical Program Manager - Machine Learning Full‑time. Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. We prioritize individuals from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, LGBTQ, and Justice Impacted individuals. Location: Center 1 (19052), McLean, Virginia, United States of America. Candidates must reside in and have legal right to work in the country where the job is located. Are you interested in leading programs that deliver on critical business goals and build large‑scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today. Capital One’s commitment to ML is supported by the CEO, Board, and executive committee. The Machine Learning Experience (MLX) org leads in building and delivering platforms, intelligent customer experiences, and responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute high‑priority enterprise‑level initiatives and influence organization‑wide outcomes. Partner with product, engineering, data scientists, and cross‑functional teams to create roadmaps, scope programs, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role includes big‑picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for delivery goals. In addition, you will help expand the TPM discipline within the team by leveraging experience to teach how a great TPM can achieve. Responsibilities Manage technical programs at the enterprise level, partnering closely with product, engineering, data science, and cross‑functional teams. Design and scope programs, aligning them with business priorities; define milestones and success metrics. Present to executive stakeholders and drive accountability across engineering teams. Educate the organization on TPM best practices and remove obstacles. Serve as the connective tissue across functions and business units to foster collaboration, improve decision‑making, and deliver value for customers end‑to‑end. Qualifications Strong technical background, ideally building highly scalable platforms, products, or services. Exceptional communication, collaboration, and influencing skills. Quantitative approach to problem solving and a holistic, systems‑thinking mindset. 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. Highly tuned emotional intelligence, good listener, and empathy for teams and partners. 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. Experience managing program communications with key stakeholders at all levels to enable transparency and timely information sharing. Basic Qualifications At least 5 years of experience managing technical programs. Bachelor’s degree. Preferred Qualifications 5+ years of experience designing and building data‑intensive solutions using distributed computing. 3+ years of experience building distributed systems & highly available services using cloud computing services/architecture – preferably AWS. 3+ years experience building highly scalable mobile products & platforms. 3+ years of experience with Agile delivery. 3+ years experience delivering large and complex programs, owning the business or technical vision, collaborating with large cross‑functional teams, securing commitments on deliverables, and unblocking teams to deliver business impact. 4+ years of technical program management experience. 2+ years of Machine Learning experience. Experience building systems & solutions within a highly regulated environment. Bachelor’s degree or higher in a related technical field (Computer Science, Software Engineering). PMP, Lean, Agile, or Six Sigma certification. Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below by location. The ranges reflect the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based on the agreed‑upon number of hours. New York City (Hybrid On‑Site): $195,200 – $222,800 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On‑Site): $206,800 – $236,000 for Sr. Manager, Technical Program Management Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full‑time or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at View phone number on click.appcast.io or via email at View email address on click.appcast.io. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to View email address on click.appcast.io. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr Dev