Sr. Director - Software Engineering

Voyager (94001), India, Bangalore, Karnātaka
Sr. Director - Software Engineering
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.
Capital One's Enterprise Data business unit drives the company's data strategy, focusing on governance, analytics, and AI integration to support banking innovations. It operates under a "You Build, Your Data" model that balances team autonomy with centralized standards.
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
Capital One is seeking a Sr. Director of Data Engineering to work in our Enterprise Data organization. This individual will be leading teams delivering and expanding capabilities that drive core data management functions for understanding and managing our diverse data ecosystem, while driving data engineering best practices. The candidate will also be responsible for designing new solutions to ensure that Capital One is able to increasingly scale across its ever growing data footprint.
This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data applications, rigorous analytical skills, and a passion for creating market-leading capabilities that integrate automation, machine learning, and predictive analytics.
Our Sr. Directors Are:

• Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - will have a DevOps mindset
• Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff
• Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions
• Curious: Hands-on, "roll up your sleeves" collaborative style of working
• Passionate: Bring energy and enthusiasm to the job and organization
• Bold: History of taking smart, calculated risks and aggressively leading through change
• Achievers: Consistently attain/exceed individual and team goals

Key Responsibilities:

• 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 data organization of approximately 36+ engineers
• Commitment to high-quality delivery, engineering excellence, and uncompromising operations
• Able to continuously optimize for cost and performance
• Ensure the durability of a modern data stacks at Enterprise scale
• 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 enterprise 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
• Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications.
• Conduct design and code review to ensure compliance with standards
• Establish a trusted, close touch relationship with divisional data leaders

Basic Qualifications:

• Bachelor's Degree in Computer Science or Engineering
• At least 9 years of experience in software engineering or data engineering
• At least 7 years of people management experience

Preferred Qualifications:

• Master's Degree in Computer Science or Engineering
• Experience managing the tech strategy for an organization's product
• 5+ years of experience in AWS or public-cloud technologies.
• 5+ years of experience in building or managing large scale data consumption, management or governance.
• 5+ years of experience leading multi-functional data engineering teams and full stack teams
• 5+ years of experience with Spark or other big data processing technologies
• 5+ years experience with Python and/or Java
• 5+ years of experience with full stack development with a focus on data applications
• 5+ years of experience with running high-availability, highly resilient platforms

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.
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 1-800-304-9102 or via email at [email protected] . 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 [email protected]
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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).