Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.As a Data Product Manager, within our Consumer Data Product Team, you will will lead end-to-end development and delivery of best in class data products and make sure our most important data is available at scale, with high quality, for better decision-making and operational need . 

Job responsibilities:

Work closely with data owners, engineers, and other cross functional teams to create integrated roadmaps, prioritize development, define metrics and key results and deliver scalable, resilient and quality Data ProductsLead end-to-end product delivery including intake, dependency management, release management, and product performance reporting, while escalating blockers or opportunities to improve efficiencies.Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partnersDeliver best in class data products while tracking usage and consumption patterns.

Required qualifications, capabilities, and skills:

5+ years of Product management experience or equivalent expertise in product design, agile delivery, software engineering or a relevant domain areaThrive at the intersection of data, product and business strategy - able to understand business intent, data and translate strategy into product requirements and developmentData 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)Framework driven approach to problem solving with ability to simplify technical complexity and drive well-educated business decisions across stakeholdersExceptional at cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job doneExperience in product or platform-wide release management, in addition to deployment processes and strategies 

Preferred qualifications, capabilities, and skills:

Proficient knowledge of data analytics and machine learningExperience in consulting or financial servicesBasic understanding of different types of transactional data in financial services