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Senior Manager, Data Engineering (AWS, Gen AI, Innovation Management)

Senior Manager, Data Engineering (AWS, Gen AI, Innovation Management)

Capital OneFayfield, PA, US
8 days ago
Job type
  • Full-time
  • Part-time
Job description

Senior Manager, Data Engineering (AWS, Gen AI, Innovation Management) Capital One's People Technology Innovation Lab is hiring a new Manager to lead our dynamic team. This is a chance to shape the future of how we work by fostering a culture of creativity and using cutting-edge tech to solve real-world problems. We're looking for a passionate leader who can inspire and guide our team in developing groundbreaking solutions that will transform the employee experience at Capital One. You'll be at the forefront of driving change, using data as a strategic asset to build innovative products and experiences. If you're excited by the prospect of building an innovation powerhouse and leading a team of talented innovators, this role is for you. What You'll Do Lead and inspire : Manage a team of innovators, providing coaching, mentorship, and career development to help them reach their full potential. Drive an innovation culture : Plan and execute various ideation events like pitch competitions, hackathons, and innovation challenges to encourage new ideas and collaboration across the organization. Champion emerging technologies : Oversee the development of innovative use cases using technologies such as Generative AI , Knowledge Graphs , and machine learning . Leverage data as a strategic asset : Partner with data scientists and analysts to ensure data is a core component of all innovation efforts, turning raw data into actionable insights and strategic products. Manage the innovation pipeline : Facilitate the end-to-end innovation process, from initial ideation and concept validation to prototyping and potential handoff for production. Build key partnerships : Collaborate with leaders and teams across Capital One's People Tech organization to identify pain points and opportunities for innovation. Communicate and influence : Act as a thought leader, communicating the value and impact of the team's work to senior leadership and key stakeholders. Basic Qualifications : Bachelor’s Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications : Master's Degree 9 years of experience in application development including Python, SQL, Scala, or Java 4 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5 years experience with Distributed data / computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4 year experience working on real-time data and streaming applications 4 years of experience with NoSQL implementation (Mongo, Cassandra) 4 years of data warehousing experience (Redshift or Snowflake) 4 years of experience with UNIX / Linux including basic commands and shell scripting 2 years of experience with Agile engineering practices 6 years of people management experience 2 years of experience in innovation management or working in an early-stage startup environment Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX : $204,900 - $233,800 for Sr. Mgr, Data Engineering McLean, VA : $225,400 - $257,200 for Sr. Mgr, Data Engineering Richmond, VA : $204,900 - $233,800 for Sr. Mgr, Data Engineering Chicago, IL : $204,900 - $233,800 for Sr. Mgr, Data Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and / or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. 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).

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Manager Data Engineering • Fayfield, PA, US

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