Sr Product Manager

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Job Description

Product Owner for Global Matching Framework, Customer 360


Do you love puzzles? Do you consider yourself as a data expert? Do you want to be lead and transform our capabilities to improve the way we identify our customers and thus revolutionize the way we interact with them? If so, this may be the right role for you!


This position will be part of a fast-paced & innovative team within Enterprise Digital and Analytics (EDA). The role is integral part of EDA and supports Customer 360 data enhancements which help build foundational data capabilities used across enterprise by enabling development of new algorithms leveraging machine learning techniques. The team applies rigorous, solution-oriented analysis including periodic case reviews to help Business Units serve customer better by enabling more effective customer identification and hence true prospect for AXP, enhancing demographic information and creating actionable insights. The team is focused on enabling the best customer experience everyday through a differentiated set of products and services.  A key part to accomplishing this vision, is knowing your customers (individuals and businesses) and having a holistic understanding of that customer. Customer 360 is an AXP-wide capability that provides a global enterprise view of entities (that have or had an American Express relationship with at least one product or service globally), comprehensive insights, and linkages for consumer, merchant, and commercial. This will fundamentally reshape our ecosystem and the way we engage with our customers by leveraging Amex internal/external data assets, world-class machine learning algorithms and Big Data environment.


We are looking for a high-caliber individual who will be responsible for the product design of E2E global matching algorithms and solutions across both individual and businesses on modern technology stack in collaboration with decision science and technology colleagues. The position partners closely with Product Owners and Managers, Engineers, Data Science and possibly external vendors in coming up with next-generation matching capabilities while enriching the quality of customer demographic data, building intelligence and insights, and supporting modernization of the platform.


Primary responsibilities include: 

  • Evaluate, maintain and continuously enhance Customer 360 global matching algorithms based on the evolving needs and tool/data availability, while supporting development and delivery of a vision, strategy and roadmap to achieve a next-generation matching capability.
  • Lead ongoing management and optimization of the product backlogs, including partnership management, operational efficiency, collaborating across a wide net of stakeholders in Technology, Marketing, Servicing and Product.
  • Support overall program management efforts including tracking project status, managing and escalating risks and issues.
  • Manage specific tracks of product /capability development efforts from ideation to launch and maintenance.
  • Define, measure and report on metrics related to product launch, process efficiency and performance.
  • Research and evaluate external off the shelf matching solutions and algorithms to enhance the in-house global matching framework.


Required Qualifications:
  • At least 2-3 years of experience working with matching algorithms or similar techniques and methodologies.
  • At least 3 years of experience in product management of technology or data-related products.
  • Experience in Agile Scrum methodology or the Software Delivery Life Cycle.
  • Effective oral and written communication with the ability to interact effectively with diverse audience across Business and Technical teams.
  • Self-starter who is able to work independently, has exceptional problem solving and critical thinking skills, strong organizational skills with great attention to detail.
  • Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity and rapid change.
  • Experience with Programming languages (e.g. SQL, Hive) and knowledge on Big Data techniques (i.e. Gradient Boosting Machine, Random Forest etc)
  • Experience and good acumen for analyzing, slicing and dicing data while deriving significant insights
  • Information Management, Computer Science, or related degree; Master’s degree preferred
  • Good understanding of payments industry & systems


 Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.  



ReqID: 19020030
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Nov 10, 2019, 5:41:55 AM