Sr Manager Development to Launch Analytics New Brunswick NJ

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Position: Senior Manager Development to Launch Analytics
Location: New Brunswick NJ USA Seattle WA USA Devens MA USA

Working with Us
Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the latest breakthroughs in cell therapy this is work that transforms the lives of patients and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits services and programs that provide our employees with the resources to pursue their goals both at work and in their personal lives. Read more: Summary

The PDS (Product Development and Supply) Analytics team is a team within BMS Business Insights and Technology (BI&T) that partners with the PDS 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.
Supporting Business Decisions: Work closely with PDS 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 teams overall productivity.

Key Responsibilities
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 PDS 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.

Driving Team Productivity and Operational Excellence
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.

Driving Analytics and Capabilities
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.