Senior Manager - Technical Program Management

Overview

Voyager (94001), India, Bangalore, Karnātaka

Senior Manager - Technical Program Management

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.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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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For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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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).