American Express

Senior Manager - Data Science

American Express • $130K — $180K *
New York, NY 10025In-Person
Consumer Technology
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 4-5 years of relevant work experience
  • Bachelor's degree required in a quantitative field
  • Strong analytical thinking with ability to model complex problems
  • Excellent communication skills for articulating insights to leadership
  • Familiarity with machine learning libraries and application
  • Proficient in Python/SQL and experienced with data querying tools
  • Experience in a Big Data environment, including data mining and visualization

Responsibilities

  • Lead Data Science Projects focused on predictive solutions using ML and AI
  • Drive high-impact analytics to influence sales strategies
  • Develop GenAI analytics use cases integrating internal and external data
  • Build and evaluate models using modern ML frameworks
  • Lead and mentor a team of high-performing data scientists
  • Collaborate with cross-functional teams to align on business goals
  • Architect scalable data pipelines and modeling solutions

Benefits

  • Opportunities for professional development and training
  • Access to cutting-edge technology and resources
  • Collaborative work culture across multiple disciplines
  • Fast-paced environment with emphasis on innovation
  • Potential for visa sponsorship for the right candidates
Full Job Description
Job Description

The Senior Manager will play a critical role supporting the development of growth and data-driven strategies to improve Sales portfolio performance and drive execution, while working alongside senior leadership within GCS. The ideal candidate should demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing data-driven solutions.

The position will provide consultative support to the GCS Sales leadership team through development of analytical solutions. The incumbent will highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Finance, Technology, and Capabilities partners to drive Sales growth. The incumbent will lead a team of data scientists to design, develop, and test ML/AI-derived solutions that deliver higher client engagement and efficiency improvements. The role is positioned at a unique intersection of deepening analytics and informing business outcomes. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, people leadership, and a singular focus on excellence.

Responsibilities

  • Lead Data Science Projects: Design, develop, and deploy predictive and explanatory analytical solutions that address critical business problems using machine learning, NLP, and generative AI. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors
  • Drive Analytics: Deliver high-impact analytics to inform strategy by developing actionable insights into Sales and client behavior. Introduce new approaches to transform complex behavioral data and influence decision-making across the organization
  • GenAI Analytics Use Case Development: Lead key workstreams in the design, development, and operationalization of a GenAI-enabled analytics solution that synthesizes internal performance and external competitive signals into actionable insights, with defined success metrics and ongoing monitoring
  • Develop Modeling Capabilities: Build and evaluate models using modern ML frameworks (e.g., TensorFlow, PyTorch), focusing on scalability, performance, and interpretability
  • People Leadership: Lead a team of high-performing data scientists
  • Collaborate Across Teams: Establish and maintain close relationships with key cross-functional stakeholders to understand business strategies, develop goals, and address opportunities
  • Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using modern cloud and distributed compute patterns
  • Lead Innovation Through External Perspective: Stay current on advancements in machine learning, deep learning, and generative AI; evaluate emerging approaches; translate theoretical advances into practical, scalable solutions that advance business outcomes. Challenge the status quo and demonstrate strong curiosity
  • Define Performance Indicators: Lead analytics and measurement across key performance indicators. Own stakeholder and executive-level communications on initiative progress, including automated monthly measurement tied to specific strategic initiatives
  • Communicate Insights Effectively: Present findings, recommendations, and results to both technical and non-technical audiences, including executive leadership, through clear reports, visualizations, and presentations, to enable data-driven decision-making


Qualifications

  • 4-5 years of relevant work experience
  • Bachelor's degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/ Statistics, Engineering)
  • Strong analytical and conceptual thinking acumen, with ability to translate complex, unstructured business problems into quantitative models. Leverage external insights and tools (from academia or other industries) where needed
  • Capable of articulating key findings to senior leadership and stakeholders, leveraging insights to influence business decisions
  • Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and experience applying algorithms to real-world business problems
  • High proficiency in Python/SQL is required; experience with Hadoop and Spark is a plus
  • Experience with data querying and distributed analytics tools (e.g., Hive, PySpark, BigQuery) is required
  • Experience in a Big Data environment, including data mining and data processing. Ability to address performance issues and to manipulate both structured and unstructured data
  • Demonstrable experience with data visualization and reporting tools (e.g., matplotlib, seaborn, Tableau)
  • Proficiency with industry-recognized ETL methods, processes and standards
  • Advanced knowledge of Microsoft Office Suite (Excel pivot tables, deck-writing)
  • Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and passion for learning

Preferred Qualifications:
  • Masters/PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)
  • 2+ years' experience of applying machine learning techniques to real-world business problems, including exposure to production ML and/or GenAI (e.g., LLM prompting, RAG, evaluation)
  • Stakeholder management at the executive level
  • People leadership experience

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

About American Express

Amex provides industrial services to the coatings and linings sector, providing support for commercial, industrial, and maritime projects such as petrochemical, power, and water treatment industries. They offer painting services for steel structures, storage tank linings and coatings, pipelines, floors, and marine vessels such as ships, tugboats, and barges.

American Express Careers

Join the vibrant team at American Express, a global leader in financial services, and be part of a company that values innovation, leadership, and diversity. At American Express, we offer more than just job opportunities; we provide a platform for professional growth and a chance to be part of a culture that is committed to excellence and inclusive growth. Work You’ll Do At American Express, we are dedicated to helping our employees reach their full potential. With a variety of career paths available in areas such as technology, marketing, finance, and customer service, American Express is the perfect place to advance your career. Our team is composed of highly skilled professionals who thrive on innovation and collaboration. Join our team and contribute to a company known for its prestigious history of leadership in the credit card industry. Engage in meaningful work that makes a real impact on our global scale business operations. American Express Leadership and Development Programs We believe in nurturing the leadership skills of our employees with extensive training programs and leadership development opportunities. Our commitment to professional growth is evident in our comprehensive benefits package that supports both personal and professional development. Internship Opportunities Start your career with an internship at American Express and gain valuable industry experience. Our internships offer a chance to develop skills, work on challenging projects, and learn from leaders in the industry. Interns at American Express are considered integral members of the team and are given responsibilities that provide a real insight into their future career paths. Diversity and Inclusion At American Express, diversity and inclusion are at the core of our company culture. We are committed to building a diverse workforce and inclusive environment where every employee feels valued and inspired. We offer diversity training programs that empower our employees to thrive and lead in a global marketplace. Networking and Innovation Our employees enjoy unparalleled opportunities for networking and personal growth through our global connections and innovative projects. American Express encourages a culture of innovation that helps propel our company and your career forward. Career Benefits and Growth American Express is dedicated to the growth of its employees. We offer competitive benefits, including health, retirement plans, and family leave, ensuring that our team members have the support they need to succeed both at work and in their personal lives. Join Our Team Explore the job opportunities and open positions at American Express. We are continuously hiring talented individuals who are passionate about their careers and interested in working for a company that offers a dynamic and supportive environment. Stay Connected Keep up to date with the latest from American Express Careers by following our career blog and signing up for job alert emails. Tailor your subscription to receive updates that match your skills and interests. Discover the exciting and rewarding career opportunities that await at American Express. SEARCH AMERICAN EXPRESS JOBS Whether you are looking for a full-time position, an internship, or a leadership opportunity, American Express offers a path to a rewarding career. Join us and make a difference with your passion, creativity, and drive.
Learn more about American Express
Size
64,000 employees
Market Cap
$108.1 billion
Industry
Finance & Insurance
Net Income
$3.1 billion
Founded
1850
5 Year Trend
+3.5%
Revenue
$37 billion
NASDAQ
AXP
* Ladders Estimates

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