Senior Manager - Technical Program Management
Capital One
About Capital One
At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.
About the team
The Machine Learning Experience (MLX) team is at the forefront of how Capital One builds and deploys responsible ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The full ML experience we’re creating will enable our lines of business to focus their time and resources on advancing their specific machine learning objectives - all while continuing to deliver next-generation machine learning-driven products and services for our customers.
Role context
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 TPM, Sr. Managers demonstrate..
Strong technical backgrounds (ideally building scalable platforms, products, or services) who can proactively identify and mitigate technical risks throughout the 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
Expertise in simplifying the technically complex and driving data-driven decisions across product, engineering, design, and data science representatives
Deep focus on execution, follow-through, accountability, and results
Exceptional cross-team collaboration 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
Vision 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)
Expertise in managing program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing
Flair 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 (B.Tech or BE)
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 scalable products and platforms
Preferred qualifications
7+ years of experience in building distributed systems and highly available services using cloud computing services or architecture - preferably using AWS
3+ years of experience with Agile delivery
5+ years of experience delivering large and complex software 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
Master’s Degree in a technical field (Computer Science, Software Engineering)
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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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).