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As a Product Manager on the Data Experience team, you will take ownership for defining and operationalizing some of the company’s most important data. You will work closely with data analysts, engineers, and other cross functional teams to create integrated roadmaps, prioritize development, define metrics and key results and deliver scalable, resilient and quality Data Products that power the company’s most critical experiences.
As the Manager, Product Management, you will:
Prioritize and lead discovery in complex data spaces for standardization and modernization
Define MVP’s, rationalize & recommend data modernization sequencing, goal setting, story writing, product execution, testing, and product roll-out strategy
Thrive at the intersection of data and business strategy - able to understand complex business intent and translate strategy into data requirements that promote consistent, reusable and interoperable data consumption
Framework driven approach to problem solving with ability to simplify technical complexity and drive well-educated business decisions across stakeholders
Exceptional cross-team collaboration; able to work 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
Execute with a sense of urgency to deliver solutions and on priorities
Demonstrate strong ability to intuitively identify impediments on the critical path and unblock them.
Champion the use of the right technology to deliver on product initiatives and strategic intents
Basic Qualifications:
Bachelor’s Degree or military experience
At least 2 years of experience in digital product management
Preferred Qualifications:
Bachelor’s Degree in Computer Science or Engineering
MBA or Master’s degree
At least 4 years of experience in Agile product management
At least 4 years of financial services product experience
Familiarity with advanced statistical modeling techniques
Familiarity with data modernization requirements for large enterprise resource planning systems
Highly preferred: Data analysis skills (e.g., SQL, Python, R) along with a high level understanding of technical patterns used to process, present, and consume data at scale (e.g., relational databases, data storage formats, spark, graphQL)
New York City (Hybrid On-Site):
$160,200 - $182,800 for Manager - Product ManagementThis 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.
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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