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Merchant Services - Product Verification, Data Strategy

Req #: 170103596
Location: Tampa, FL, US
Job Category: Product Management
Job Description:

JPMorgan Chase & Co. is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. JPMC serves nearly half of America’s households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,300 branches, 16,000 ATMs, mobile, online and by phone.   For more information, go to

Merchant Services is the global payment processing business for JPMorgan Chase & Co.   Merchant Services is the world’s leading merchant acquirer with over $1 trillion in annual transaction volume in 2016. ChaseNet is a customized closed-loop proprietary payments platform, and Chase Pay is the firm’s new digital wallet that makes mobile transactions simple, safe and rewarding.  Merchant Services is a leading provider of payment, fraud and data security for companies large and small and capable of authorizing transactions in more than 130 currencies.



Chase Merchant Services is embarking on a major business modernization program for industry leading user experience.  A major deliverable in that program is a new Data Lake that will reside in JPMC’s Big Data infrastructure.



The Product Verification, Data Strategy role is to work with the Data Lake user community to ensure the fitness of the Data Lake solutions and services.  The Big Data services need to meet a very diverse set of requirements by stakeholders inside and outside the firm. Effective design of the solutions is fundamental to the success and this role will act as the voice of customer into the design and build activities, taking into account known and expected needs.

This role will also work with the user community to implement a strategy for quick and wide spread adoption of new capabilities and products to maximize the value created.

There are significant milestones that need to be achieved in a short span of time for the Data Lake.  Success of the program rests heavily on clarity of the user perspective and clear articulation of the underlying business drivers.  The voice of the customer will be used to ensure the right outcomes.


The business modernization program is run from the ground up in an agile mode.  That means that user perspectives can be rapidly embedded in new releases where necessary. 





  • Ensure the Data Lake supports best in class client experience by feeding back the quality of online access to data, reporting and analytics
  • Establish fitness tests of the Product capabilities being built to ensure delivery of business value.
  • Create a strategy for quick and wide spread adoption of new capabilities and products.
  • Where needed, write user stories to close value gaps in delivered capabilities
  • Ensure that the Product Owners and the delivery teams, mostly technology, have a good understanding of the stories
  • Influence the overall prioritization of the Data Lake backlog


  • Bachelor's degree required, advanced degree preferred
  • Minimum of 5 years of product or related experience
  • Experience interacting with a variety of user groups, with proven ability to positively influence people at a variety of levels
  • Specific experience from data centric environments, including open-source technologies such as Hadoop, Spark, Kafka and Cassandra
  • Experience in writing user stories and epics in JIRA and supporting materials in Confluence
  • Proven success in presenting to delivery teams, focusing on key messages and clear delivery
  • Must have strong analytical and problem solving skills, a positive self-starter with proactive approach
  • Excellent time management and prioritization skills
  • Proficient technical skills, including understanding of data management technologies
  • Experience in effective story writing in an agile delivery model
  • Passion for data and the convergence of technology and business value through Big Data.
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