AMEX Healthcare · 2 hours ago
Senior Manager - Data Science
New York, NY
Full-time
Hybrid
Mid, Senior Level
$104K/yr - $175K/yr
4+ years expAmerican Express is a global leader in providing payments solutions and is seeking a Senior Manager in Data Science. This role involves leading data-driven strategies to improve sales portfolio performance, supporting senior leadership, and managing a team of data scientists to develop analytical solutions.
Freight ServiceMedicalPharmaceuticalProcurement
No H1B
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
Qualification
Required
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
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
Benefits
Competitive base salaries
Bonus incentives
6% 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
Company
AMEX Healthcare
We provide healthcare solutions.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase