Lead Machine Learning Program Manager
6 days ago
Capital One is at the forefront of revolutionizing the financial services industry through machine learning. As a Senior Manager, Technical Program Management, you will play a crucial role in leading programs that deliver critical business goals and build large-scale products & platforms.
We believe that machine learning represents the biggest opportunity in financial services today, and we're committed to making it happen. With sponsorship from our CEO, Board of Directors, and executive committee, we're leading the way in building and delivering platforms that supercharge responsible machine learning across Capital One.
Salary and BenefitsThe estimated annual salary for this position is between $199,100 - $240,700, depending on location. In addition to a competitive salary, Capital One offers a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
Job DescriptionAs a Senior Manager, Technical Program Management, you will be responsible for executing high-priority enterprise-level initiatives and influencing across our organization. You will partner closely with product, engineering, data scientists, and other 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 requires big-picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. You will also work to pave the way for an expanding TPM discipline within the team by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
Required Skills and Qualifications- Strong technical background (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
- 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.
Candidates should have at least 5 years of experience managing technical programs and a bachelor's degree. Preferred qualifications include 5+ years of experience designing and building data-intensive solutions using distributed computing, 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using 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 - 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, 4+ years of technical program management experience, 2+ years of Machine Learning experience, experience in building systems & solutions within a highly regulated environment, and a bachelor's degree or higher in a related technical field (Computer Science, Software Engineering). PMP, Lean, Agile, or Six Sigma certification is also preferred.
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