Senior Manager, Data Engineering (AWS, Gen AI, Innovation Management)
Capital OneAbout the role
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
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