Job Description

Voyager (94001), India, Bangalore, Karnataka
Vice President, Data Engineering
Capital One has invested heavily in the cloud, in modern engineering approaches, and in attracting world class engineering talent. We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. Together, this work helps make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.


At Capital One India, we solve fundamental business problems at scale using advanced analytics, data science and machine learning. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale.


The Vice President of Card Tech Data will be a highly visible and impactful executive position leading in some of Capital One's most exciting and innovative areas of technology strategy. In this role, you'll lead a team building next generation data systems and products for Capital One Card which owns the largest repository of customer data available within the company. You will collaborate with and influence the Enterprise Data Senior Leadership Team, Line of Business Leaders, and Technology Senior Leaders. You will play a critical role as we continue to lead in data, analytics, and technology.


The right engineering leaders for this role are not only passionate about technology, engineering excellence, and delivery, but they also attract and motivate world-class engineers with their technological and cultural vision. They are enthusiastic about deeply understanding the business, and excellent at building cross functional executive partnerships in a large organization.

Key Accountabilities:

Serve as a change agent, driving our data strategy and capabilities forward to deliver trusted, well managed quality data experiences for all data stewards and stakeholders Focus on building leading-edge capabilities in support of ensuring world-class experiences for data producers and consumers with enterprise platforms Partner with Product and Design teams to strategize and build leading technology solutions Stay abreast of emerging technologies and market trends in data, applying learnings to improve our business and customer experience Drive a forward-looking data strategy that can realize long-term and commercial objectives Lead a large data organization Provide superior delivery management and accountability, leading delivery teams in India partnering closely with the US teams Continue to recruit and develop top engineering data talent

The Position

Commitment to high-quality delivery and uncompromising operations
Develop data products, platforms, and services that fully enable all customers of the data ecosystem to deliver the business strategy and performance objectives, unleashing the full power of data for their business
Successfully manage an engaged and sophisticated set of business and technology customers who possess a strong understanding of and high expectations regarding data
As a transformational leader, recruit, nurture and retain top talent, building a world-class engineering team within the Card technology organization
Serve as an inspiring role model, a leader the team wants to emulate
Motivate a highly talented next level of leaders, ensuring succession as well as their own people development objectives
Drive the team to understand, challenge and improve the technologies through which Capital One leverages data and predictive analytics
Establish a trusted, close touch relationship with divisional data leaders

The Person

The Vice President of Card EDS will be a seasoned technology professional with a passion for data transformation. You've worked in customer-first, technology-forward companies that move fast and deliver impactful results for users. You have transformation experience, building world class producer and consumer experiences using a variety of tech stacks. You have a strong appreciation for data and experience working in an agile environment. You are an advocate for the value of data-driven business decisions and products, as well as comfortable with big data and cloud-based technologies and tools. You have experience or are confident you could quickly ramp up on emerging technologies and concepts such as Golang, GraphQL, Snowflake, Databricks, Spark, Fink, Apache Kafka, APIs, tokenization, and more.


You have a proven track record of being able to identify top technical talent and inspire and manage through change. You have the proven ability to influence and collaborate with partners inside and outside the company to shape the data ecosystem and standards for data collection, ingestion, decisioning, and analytics in a data producer and consumer framework. You have a demonstrated ability to develop a vision, drive, and manage the execution of that vision, and deliver top-tier results. You exhibit excellent leadership skills to leverage the capabilities of peers, business partners, and associates, and possess the confidence and poise to influence the executive leadership team and various internal stakeholders.


Specific candidate competencies include, but are not limited to:

Strategic orientation - proven capabilities around defining and implementing roadmaps in an incremental way to support business goals Intellectually curious; interested in understanding and experimenting with new leading-edge technologies and a desire to continually learn Ability to establish credibility with, as well as motivate and mentor, highly technical engineers Results orientation - Proven track record of removing obstacles and influencing senior-level executive stakeholders across divisions and lines of business to achieve results Exceptional leadership skills, marked by poise, positive influence, and the ability to drive change A management style that is collaborative, energetic, results-oriented, and innovative

Basic Qualifications:

Bachelor's Degree At least 15 years of experience in technical roles including data architecture, data engineering, software engineering, or data strategy and operations. At least 15 years of experience within a large data-intensive multi-line business environment with significant complexity and scale. At least 5 years of experience in technology leadership or managing people

Preferred Qualifications:

Master's Degree in STEM (Science, Technology, Engineering, Math) Computer Science or Business Administration 16+ years of experience in technical roles including data architecture, data engineering, software engineering, or data strategy and operations. 12+ years of experience within a large, data-intensive environment with significant complexity and scale 7+ years of experience in executive technology leadership roles in an agile environment leading medium to large sized engineering teams 5+ years of experience in a cloud environment 2+ years of experience managing the tech strategy for an organization's flagship product Built modern data stacks from the ground up and managed them in production at scale Strong technical proficiency; well versed in public-cloud technologies, full stack software development, AWS services, technologies suited for data consumption, management and governance, tokenization, as well as machine learning techniques, or other comparable technologies Highly developed interpersonal, presentation, and communication skills.
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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