Senior Associate-Digital Product Management

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 this 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.

As part of the Global Merchant & Network Services group (GMNS), the Network & Acquirer Solutions (NAS) team is at the core of American Express, uniquely positioned to support every business unit and customer across the Enterprise. The American Express Network enables over $1.6 trillion in annual spend, serving our Issuers and Acquirers in more than 170 markets worldwide. We are delivering a multi-rail, omni-channel payments ecosystem that delivers value seamlessly and securely for Amex and our customers.

The Network & Acquirer Capability Delivery (NACD) team within NAS works to deliver full-scale Network solutions including new digital products such as Debit, Push to Card, Multi-Rail, and Local Network solutions to meet the evolving demands of global payment networks and adapt to local market needs while ensuring continued global interoperability. This enables the Enterprise to attract new customers, operate in new markets, react to changing regulatory demands, and process new/emerging types of payments. A role on this team will challenge you to broaden your skills and industry acumen in a collaborative, diverse and inclusive team environment.

As the Sr Associate, Data Strategy & Transformation, you will be at the center of building on the Payments Network mission! You will be joining the team at a fascinating and critical time in which the team is kicking off a multi-year data strategy & transformation initiative playing a key enabling and thought partnership role in driving business growth, productivity, and operational excellence for the broader organization. You will have the opportunity to be part of a key strategic priority for the NAS business. This exciting role will offer the opportunity to drive the strategy to better process, manage, store, control, govern and monetize our critical data assets.

The incumbent will play an influential role collaborating closely with key stakeholders like NAS Product, Envisioning, Technology, GSG (Global Services Group), Finance, CFR (Credit & Fraud Risk) etc. to understand the current landscape of data coverage, opportunities and create a roadmap. They will provide consultative support to peers and leaders in NAS, through strategic analytics that highlight trends, risks and opportunities and actionable insights.

Key Job Responsibilities:

• Support Senior Managers leading the development and execution of the Payments Network Data Strategy vision, strategy, and roadmap
• Partnership and collaboration with peers on Product, Envisioning, Technology, Data Governance, Analytics, Delivery teams to find synergies, drive optimization and standardization
• Participate in external and internal research and enablement of next gen AI/ML driven solutions which make data analysis, discovery and processing more efficient and optimized
• Support Senior Managers to develop presentations materials for colleagues and Senior Leadership
• Help build a comprehensive, scalable and nimble data distribution strategy to cater unique needs of all downstream applications
• Become an expert on Payments transactional data and working with the Data Governance Office to ensure that relevant data is identified as needing to be activated, review/propose data that is necessary for processing vs. servicing and make recommendations on accessibility of that data
• Owning data discovery by forming hypotheses, defining objectives and key re