Manager, Data Science [Machine Learning, Nlp, Genai]

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With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
Function Description:
How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you're finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in analytics on #TeamAmex.
How will you make an impact in this role?
Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are critical for the success of the organization. The Sales Enablement team is instrumental in driving these objectives.
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-derived solutions that deliver higher client engagement and improve efficiency. The role is positioned at a unique intersection of 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.
Lead Data Science Projects: Design, develop, and implement predictive and explanatory analyses that address critical business problems, leveraging expertise inmachine learning, NLP, generative AI,and other areas. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors.
Drive Analytics: Create world class analytics and add valuable insights to inform strategy. Develop actionable insights into Sales and client behavior, and introduce new approaches to transform complex behavioral data, and influence decision-making and strategic direction across the organization.
Develop Modeling Capabilities: Hands-on experience with popular frameworks like TensorFlow, PyTorch, Transformers, etc., 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 partners 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 cloud-based technologies (e.g., Lumi) and programming languages like Python, Spark, etc.
Lead Innovation Through External Perspective: Research emerging trends and advancements in machine learning, deep learning, NLP, and generative AI; apply this knowledge to solve complex problems; translate theoretical advances into practical, scalable solutions that drive the business forward. Challenge status quo, innovate, and harbor strong curiosity.
Define Performance Indicators:Lead analytics and measurement across key performance indicators. Own key partner and executive level communications on progress of committed initiatives, including provision of automated monthly measurement focusing on specific strategic initiatives.
Communicate Insights Effectively:Present findings, recommendations, and results effectively to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations, to enable data-driven decision making.

Minimum 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 skill, with demonstrated ability of translating complex, unstructured business problems into mathematical programming models. Leverage external insights and tools (from academia or other industries) where needed.
Capable of articulating key findings to senior leadership and partners, using 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
High proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.) is required.
Experience in Big Data environment, inclusive of data mining techniques 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, macros, deck-writing)
Strong communication skills, capable of explaining analyses in audience-appropriate terms.
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 in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)
Overall 4-5 years of experience with minimum 2+ years' experience of applying machine learning techniques to real-world business problems
People leadership experience

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
Competitive base salaries 
Bonus incentives 
Support for financial-well-being and retirement 
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
Generous paid parental leave policies (depending on your location) 
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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.