JOB DESCRIPTION
Team Description
It begins with a Card Member using an American Express Card at one of our millions of Merchants around the world - the rest is up to us! The GMNS Product team is the heart of the American Express Enterprise, powering billions of transactions through the global payments processing network that we develop and lead. We work across almost every American Express business unit as well as with external partners, providers, and key industry collaborators. We are known to be intellectually curious and problem solvers as we take on the most imperative initiatives facing the payments industry today, such as securing online transactions and enabling faster, more convenient ways to pay.
The GMNS Capability Delivery team within GMNS Product modernizes our Network and Acquirer payments ecosystems, building the rails that enable innovative payment solutions. A role on this team will challenge you to broaden your skills and industry savvy in a collaborative, diverse and inclusive team environment!
Role Description
Within GMNS Capability Delivery Team, Merchant Data Enrichment and Enablement team is responsible for designing and implementing strategies to improve the quality of merchant data for digital marketing and business operations. The team partners closely with marketing, data science, technology, and other business units to enable these merchant data products. The enriched merchant data is then integrated with highly strategic use cases across the enterprise.
Reporting to the Director - Merchant Data Enrichment and Enablement, the Mgr./Sr. Manager Product Manager will be responsible for leading data products that leverage Big-data based matching and arbitration algorithm(s), use advanced ML techniques, manage data distribution, understand, and apply data governance rules, build and manage user-interface for data review / manipulation and APIs for real-time data integration to the use-cases.
We are looking for a dynamic candidate with strong hands-on experience of digital product ownership and data management background and a practical understanding of data systems/technology.
RESPONSIBILITIES
QUALIFICATIONS
Qualification : Master's in computer science, Engineering, Information Management or a related (quantitative) field, and 2+ years of relevant experience or bachelor’s degree with 4+ years of relevant experience.
Product management experience : At least 2+ years’ experience in large scale data as a service products or digital platforms using Agile methodology.
Critical thinking : Ability to understand product architecture and connect the dots between business objective and technical solution to make informed business decisions.
Problem solving : Demonstrable analytical aptitude and ability to analyze data to come up with meaningful insights and make informed business decisions. Knowledge of SQL / Hive and other data querying and manipulation techniques is desired.
Effective communicator and influencer : Excellent verbal and written communication and negotiation skills combined with an ability to interact effectively with diverse audience across Business and Technical teams.
Intellectual curiosity : Good business acumen to convey key benefits to customers and successfully launch new solutions. Ability to work with white space to design and bring to life solutions solving complex challenges.
Entrepreneurial spirit : Self-starter who can combine exceptional problem-resolution and critical thinking skills and be willing to adapt to new technologies / tools.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
ABOUT US
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
ABOUT THE TEAM
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
For a full list of Team Amex benefits, visit out Colleague Benefits Site .
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.