Analyst - Data Science

The Colleague Experience Group (CEG) - American Express’ Human Resources function—is dedicated to delivering a world-class colleague experience. Our mission is to deeply understand colleagues’ needs and co-create simple, impactful ways of working that empower every colleague to thrive.

Within CEG, the Colleague Services (CS) organization plays a key role in enabling this mission by delivering exceptional services, capabilities, data, and insights. The Colleague Product Management (CPM) team within CS leads the strategy, development, and delivery of digital products that power the colleague experience across the enterprise.

As an Analyst in AI Product within CPM, you will support the development of AI-powered experiences that transform how colleagues interact with HR services and digital tools. You will partner with Product, Technology, and Design teams to build intelligent solutions such as chatbots, virtual assistants, and other AI-driven capabilities. With a strong foundation in data science, computer science, mathematics, statistics, or a related field, and formal exposure to AI, you will apply your understanding of both generative and classical AI to inform product decisions and drive impact.

In this role, you will analyze colleague needs, identify AI use cases, and contribute across the AI product lifecycle, from experimentation to deployment and continuous improvement. You will help define success metrics, evaluate model performance, and ensure solutions are scalable, responsible, and user-centric. This is a great opportunity for someone who thrives at the intersection of product, analytics, and AI, and is passionate about enhancing the colleague experience through emerging technologies.

This role will report to the Director of AI Product within CPM and will be based in a hybrid model from our New York or Phoenix office.

Minimum qualifications

• Bachelor’s degree or equivalent experience in a related field such as data science, computer science, mathematics, statistics, or a similar quantitative discipline

• Demonstrated analytical experience using data to drive product, process, or operational decisions

• Academic exposure to machine learning and generative AI through university-level coursework

• Experience with analytics tools such as SQL and at least one programming language such as Python or R, and or business intelligence tools such as Tableau, Power BI, or Looker

• Strong written and verbal communication skills and ability to work effectively with cross-functional teams

• Master’s degree in a related field such as data science, computer science, mathematics, or statistics

• Experience supporting digital product teams, including product analytics, product operations, or product management

• Familiarity with AI product development concepts such as evaluation methods, feedback loops, and performance monitoring

• Understanding of human-centered AI design principles, including user feedback and trust considerations

• Awareness of AI and LLM security and governance practices such as prompt injection risks and secure design principles

• Experience improving employee or colleague-facing digital experiences

Familiarity with Agile methodologies and tools such as Jira and Confluence

Preferred qualifications

• Master’s degree in a related field such as data science, computer science, mathematics, or statistics

• Experience supporting digital product teams, including product analytics, product operations, or product management

• Familiarity with AI product development concepts such as evaluation methods, feedback loops, and performance monitoring

• Understanding of human-centered AI design principles, including user feedback and trust considerations

• Awareness of AI and LLM security and governance practices such as prompt injection risks and secure design principles

• Experience improving employee or colleague-facing digital experiences

Familiarity with Agile methodologies and tools such as Jira and Confluence

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

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.

We back you with benefits that support your holistic well-being so you can be and deliver you