Senior Manager, Development to Launch Analytics

Role Summary

The GPS (Global Product Development and Supply) Analytics team is a team within BMS Business Insights and Technology (BI&T) that partners with the GPS organization to answer key business questions and drive business strategy using advanced data science and analytics. The Senior Manager, Development to Launch Analytics will join a dynamic and collaborative data science and business insights team dedicated to tackling key strategic questions that drive our enterprise forward. Reporting directly to the Associate Director or Senior Director, Development to Launch Analytics, you will play a pivotal role in developing advanced data analytic tools that guide strategic decisions across our member functions, spanning end-to-end drug development and product launch activities. From Product Development and Cell Therapy Development to Manufacturing Science & Technology and Clinical Supply Chain, your work will have a far-reaching impact. As a successful candidate, you will elevate our analytic capabilities by building and owning machine learning, statistical, and quantitative models. You will also excel at operationalizing, interpreting, and maintaining these models utilizing cutting-edge DevOps practices and insightful business reporting.

Responsibilities

• Supporting 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 all steps from problem identification and key question development through hypothesis testing, driving analysis, and presenting key findings to leadership.
• Driving Analytics and Capabilities Answer key business questions using innovative analytic and data science techniques. Support the development of core analytical and data science tools including AI and machine learning models, ETL (Extract, transform, and load) data processes, and statistical methodologies.
• Driving Team Productivity and Operational Excellence Ensure consistent adoption of coding best-practices, coding standards and data analysis methodologies by contracted or other team staff. Continuously seek opportunities to enhance the team's overall productivity.
• Supporting Business Decisions Drive the application of fact-based decision-making for key business and portfolio questions, enabling effective prioritization.
• Develop and maintain a deep understanding of GPS business priorities, especially those pertaining to CMC development and new product introduction.
• Build relationships with key stakeholders and senior leaders within the functions and Business Insights and Technology.
• Influence senior leaders to adopt analytics-derived insights.
• Follow coding best practices and work across BI&T to drive the adoption of these best practices.
• Demonstrate and support the development of enterprise standards for code development and data analysis techniques.
• Author detailed documentation that describes development, assumptions, input data, and data processing.
• Conduct walkthroughs and peer reviews of work to ensure quality, cross-training, and knowledge management.
• Design, develop, and implement a broad array of data analysis applications that solve complex problems in a computationally efficient and statistically appropriate manner.
• Drive capability building for data automation, cloud computing, and data lake integration within the team.
• Identify new opportunities to further leverage data and analytical tools.
• Ensure best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization, and subject matter expertise.
• Actively lead and/or manage multiple projects from charter through completion.
• Define standards for the provision of analytics to support planning and decision-making processes and utilize appropriate escalation processes.

Qualifications

• 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/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 code in a production-grade environment using version control is a significant plus.
• Experience in the life sciences and/or pharmaceutical industry is strongly preferred.
• Strong project management skills.
• Strong critical thinking and problem-solving skills.
• Excellent interpersonal, collaborative, and communication skills to effectively work in a highly matrixed organization.
• Ability to learn new tools and skills quickly and apply GPS-specific knowledge.
• Proven ability to lead small teams/groups and prioritize work across multiple deliverables simultaneously.
• Ability to work with diverse teams across organizational lines and structures.