Senior Manager, Development to Launch Analytics

About the Role

Key Responsibilities

• Support Business Decisions: Work closely with GPS senior leaders to proactively identify and address priority business questions related to CMC development, new product introduction, and business operations. This includes problem identification, hypothesis testing, analysis, and presenting findings to leadership.
• Drive Analytics and Capabilities: Answer key business questions using innovative analytic and data science techniques. Support the development of AI and machine learning models, ETL data processes, and statistical methodologies.
• Drive Team Productivity and Operational Excellence: Ensure adoption of coding best practices, develop enterprise standards for code and data analysis, author detailed documentation, and conduct peer reviews to ensure quality and knowledge sharing.
• Design, develop, and implement data analysis applications to solve complex problems efficiently and appropriately.
• Build capabilities for data automation, cloud computing, and data lake integration.
• Identify new opportunities to leverage data and analytical tools.
• Lead and manage multiple projects from start to finish, defining standards for analytics support and escalation processes.

Requirements

• Bachelor's degree in business analytics, data science, engineering, finance, or another quantitative field; advanced degree preferred.
• 5+ years of experience with applied machine learning, statistical models, time-series modeling, or quantitative forecasting.
• 5+ years of experience with SQL, Python, and/or R in production or operational environments.
• Experience in data architecture and database concepts.
• Experience working with probabilistic methods, including Monte Carlo simulations, probability theory, and Bayesian methods.
• Experience developing production-grade code with version control is a plus.
• Strong project management, critical thinking, and problem-solving skills.
• Excellent interpersonal, collaborative, and communication skills for working in a highly matrixed organization.
• Ability to learn new tools quickly, lead small teams, and prioritize multiple deliverables.
• Experience in the life sciences and/or pharmaceutical industry is strongly preferred.

Nice to Have

• Experience in the life sciences and/or pharmaceutical industry.

Qualifications

• Bachelor's degree in a relevant quantitative field; advanced degree preferred.
• 5+ years of relevant experience in data science, machine learning, or statistical modeling.

Benefits & Perks

• Bristol Myers Squibb offers a wide variety of competitive benefits, services, and programs supporting work-life balance and personal goals.