Manager-Data Science

American Express•New York, NY

23h•Hybrid

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. 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. The Analytics, Investment & Marketing Enablement (AIM) team – a part of Global Commercial Services (GCS) Marketing – is the analytical engine that enables the GCS business at American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. The team powers profitable business growth through consultative, innovative, and data-driven solutions across GCS Marketing. By delivering actionable insights and scalable analytical products, AIM plays a critical role in shaping digital strategy, customer engagement, and acquisition effectiveness. This Manager role will be based in New York and will focus on driving Site Offer Personalization Analytics across the AMEX digital ecosystem. The incumbent will lead the design and execution of advanced analytics and machine learning strategies that power personalized offer experiences, real-time decisioning, and optimized customer journeys across the AMEX website and digital channels. The role requires close collaboration with stakeholders across Global Commercial Services, Enterprise Digital, Product, Technology, and Data Solutions to ensure that personalization strategies translate into measurable business impact. A critical focus of the role will be to quantitatively determine value, derive actionable insights, and ensure those insights are operationalized to create meaningful commercial impact. You will lead analytical initiatives that shape the next generation of AMEX’s on-site personalization and digital engagement engine. You will design scalable decisioning frameworks, build data-driven personalization strategies, and partner cross-functionally to optimize targeting, experience relevance, and conversion. This role is ideal for someone passionate about digital personalization, customer-centric marketing, and applying AI/GenAI to elevate digital experiences in a competitive landscape.

Requirements

Bachelor’s Degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Physics, Computer Science, Economics, Science) or related field.
Strong analytical and conceptual problem-solving skills, with the ability to structure ambiguous business challenges and communicate insights succinctly to senior leaders.
Hands-on experience building ML models (e.g., XGBoost, clustering techniques such as K-Means, classification/regression models) with proficiency in SQL, Python, or similar tools.
Experience in experimentation design and performance measurement frameworks.
Proven ability to collaborate across cross-functional teams and influence decisions through data-driven storytelling.
Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.
Excellent communication and interpersonal skills with the ability to balance thought leadership and pragmatic execution.
Ability to manage concurrent projects across teams and geographies.

Nice To Haves

Master’s Degree in a quantitative field, science or related field.
Experience in digital personalization, website optimization, customer journey analytics, or next-best-action/next-best-offer strategy.
Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity resolution frameworks, CDPs, or real-time decisioning systems.
Experience designing and analyzing A/B and multivariate tests in digital environments.
Understanding of uplift modeling, recommendation systems, or real-time personalization engines.
Familiarity and interest in applying AI and GenAI capabilities to improve digital targeting, content personalization, and experience optimization.
Strong communication skills with demonstrated ability to influence senior partners and drive action.
Demonstrated project management experience leading complex, cross-functional initiatives.

Responsibilities

Develop analytical frameworks and data products that power offer personalization, real-time targeting, and dynamic content optimization across the AMEX website.
Own end-to-end analyses focused on audience segmentation, behavioral modeling, journey orchestration, funnel optimization, and incremental impact measurement.
Build and enhance predictive and prescriptive models (e.g., propensity, next-best-offer, eligibility prioritization, uplift modeling) leveraging AMEX’s first-party data and digital behavioral signals.
Design and evaluate experimentation strategies (A/B, multivariate, holdout testing) to measure personalization effectiveness and drive continuous optimization.
Drive investment optimization by quantifying incremental lift, ROI, and trade-offs across competing on-site experiences.
Partner closely with Digital Product, Engineering, Marketing, and Data Science teams to ensure seamless deployment and scalability of personalization solutions.
Translate complex analytical insights into clear, strategic recommendations for senior leaders and stakeholders.
Champion innovation by introducing advanced modeling techniques, real-time decisioning strategies, and GenAI-powered personalization use cases.
Apply emerging AI and GenAI techniques (e.g., intelligent journey orchestration, semantic user understanding, automated content testing, and insight generation) to enhance targeting precision and operational efficiency.

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