Manager - Data Science
About The Position
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. 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. About the role The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing – is the analytical engine that enables the Global Commercial Services portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. This Manager role will join the Prospect cross-functional team within AIM and will develop analytical solutions that enhance targeting, acquisition, engagement, and prospecting effectiveness across commercial channels. The role involves working across a diverse analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI where appropriate—to build solutions that improve decisioning and drive measurable business impact. The ideal candidate will translate business questions into well-structured analytical approaches, deliver high-quality insights, and influence strategic decision-making through clear communication and strong cross-functional alignment. Operating in a highly collaborative environment, the role ensures that analytical solutions are designed responsibly and adhere to Amex standards for data integrity and model governance.
Requirements
- Bachelor's degree in quantitative discipline such as Engineering, Mathematics, Computer Science, Physics, Finance, or Economics.
- 5+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles
- Strong programming skills in Python and SQL, with hands-on experience developing machine-learning and GenAI/NLP models end-to-end.
- Experience working with large-scale or distributed data environments, with the ability to build scalable analytical workflows.
- Strong analytical and conceptual problem-solving capability, with a demonstrated ability to translate business needs into structured analytical plans and GenAI/ML solution approaches.
- Excellent executive communication and interpersonal skills, with the ability to build strong working relationships and deliver clear, compelling insights to senior leaders across levels.
- Proven ability to operate as a senior individual contributor, driving solution design, analytical execution, and cross-functional alignment independently within a matrixed environment.
- Understanding of responsible AI, data integrity, and model governance principles is preferred
Responsibilities
- Translate complex business questions into structured analytical frameworks, identifying the right mix of statistical techniques, machine learning, GenAI, and data-driven methodologies to deliver high-impact solutions.
- Design, build, and enhance advanced analytical models and data products—including predictive modeling, customer/prospect scoring, matching, prioritization, and enrichment capabilities—to strengthen targeting and acquisition strategies.
- Develop scalable AI/ML and analytical solutions (including, but not limited to, GenAI and NLP techniques) that drive improvements in prospect identification, routing, and engagement effectiveness across commercial channels.
- Apply strong quantitative judgment and technical rigor to evaluate data quality, refine features, enhance models, and ensure analytical methods and pipelines are robust, efficient, and aligned with best practices.
- Influence and align cross-functional partners by collaborating with product, engineering, and business stakeholders to define use cases, integrate analytical solutions into workflows, and enable effective adoption—without owning operational execution.
- Communicate analytical insights, model performance, and strategic implications to senior stakeholders, driving clarity, alignment, and data-informed decision-making while ensuring all solutions adhere to responsible AI, governance, and data integrity standards.
Benefits
- Competitive base salaries
- Bonus incentives
- 6%25 Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
