Senior Manager - Data Science
About The Position
The Senior Manager will shape and execute data-driven strategies to improve Sales effectiveness, strengthen portfolio performance, and accelerate growth across Global Commercial Services. Working with GCS senior leadership and teams across Marketing, Finance, Product, Technology, and Capabilities, the role applies advanced data science and analytics to complex business challenges and strategic decisions. Key focus areas include identifying growth opportunities, understanding Sales and client behaviors, optimizing incentive effectiveness, and detecting emerging performance risks. The role leads advanced statistical and machine learning model development and scalable analytical solutions, and drives innovation through GenAI solutions that use large language models, direct API integrations, and unstructured data. It requires relationship-building, applied data science expertise, technical leadership, and a commitment to excellence.
Requirements
- At least 5 years of relevant work experience in data science, machine learning, and advanced analytics.
- Bachelor’s degree, preferably in a quantitative field such as Economics, Finance, Computer Science, Mathematics, Statistics, or Engineering.
- Experience developing and deploying statistical, machine learning, and deep learning models to solve business problems using tools such as scikit-learn, PyTorch, or TensorFlow.
- Experience developing GenAI solutions, including LLM API integration, retrieval-augmented generation (RAG), and model evaluation.
- Strong analytical and conceptual thinking, with the ability to translate complex business problems into quantitative approaches and practical solutions.
- Proficiency in Python and SQL, with experience processing and analyzing large-scale structured and unstructured datasets using distributed-computing frameworks such as Spark.
- Ability to synthesize complex analytical findings, develop effective data visualizations, and influence decisions across senior leadership and cross-functional stakeholders.
- Ability to work independently and collaboratively across teams, with strong problem-solving skills, intellectual curiosity, and adaptability.
Nice To Haves
- Master’s degree or PhD in a quantitative field such as Computer Science, Statistics, Econometrics, Mathematics, Physics, Operations Research, or Engineering.
- Executive-level stakeholder management experience.
- People leadership experience.
Responsibilities
- Design, develop, and deploy predictive and explanatory analytical solutions using machine learning, NLP, and generative AI to address business problems, strengthen forecasting, refine incentive plan designs, and identify gaming behaviors.
- Deliver high-impact analytics and actionable insights into Sales and client behavior to inform strategy and influence organizational decisions.
- Lead workstreams to design, develop, and operationalize a GenAI-enabled analytics solution that synthesizes internal performance data and external competitive signals into actionable insights, with success metrics and ongoing monitoring.
- Build and evaluate models using modern ML frameworks such as TensorFlow and PyTorch, emphasizing scalability, performance, and interpretability.
- Lead a team of data scientists.
- Build and maintain relationships with cross-functional stakeholders to understand business strategies, develop goals, and address opportunities.
- Architect and deploy robust, efficient, scalable data pipelines and modeling solutions using modern cloud and distributed-compute patterns.
- Monitor advances in machine learning, deep learning, and generative AI; evaluate emerging approaches and translate them into practical, scalable solutions that improve business outcomes.
- Lead analytics and measurement of key performance indicators, and communicate initiative progress to stakeholders and executives, including through automated monthly measurement tied to strategic initiatives.
- Present findings, recommendations, and results to technical and non-technical audiences, including executive leadership, through reports, visualizations, and presentations.
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 of 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 the Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
