Manager, Development to Launch Analytics

Bristol Myers Squibb•Devens, MA

2d•Hybrid

About The Position

The Product Development and Supply (PDS) Analytics team is part of the Business Insights & Technology (BI&T) function at BMS. PDS analytics team members partner with the PDS organization to answer key business questions that drive business strategy using advanced data science, analytics, and AI. The Manager, Development to Launch Analytics, will be part of a collaborative data science and business insights team dedicated to answering key business questions for the enterprise, and will report to the Senior Director; Development to Launch Analytics. The Manager will develop advanced analytics and AI tools to answer business strategy questions for the member functions that enable end-to-end drug development and product launch activities, including Product Development, Cell Therapy Development, Clinical Supply Chain and Manufacturing Science & Technology.

Requirements

Bachelor’s degree in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 4+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models OR Ph.D. in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 1+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models
Demonstrated proficiency in data science and data engineering, including SQL, Python, dbt in production/operational environments
Experience in basic data architecture and database concepts
Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
Experience with translating analytical results for business leaders
Strong project management skills
Strong written and verbal communication skills
Ability to learn new tools and skills quickly and gain and apply PDS specific knowledge.
Proven ability to independently balance and prioritize across multiple projects in parallel.
Ability to work with diverse teams across organizational lines and structures.

Nice To Haves

Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods is a plus.
Experience in the life sciences and/or pharmaceutical industry preferred

Responsibilities

Support Business Decisions: Work closely with PDS senior leaders to identify and address priority business questions related to CMC development, new product introduction, and business operations.
Develop and Deploy Analytics and AI 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: Consistently apply coding and data analysis best-practices and standards within the PDS BI&T aligned tech stack.
Assist in driving the application of fact-based decision making within PDS.
Develop understanding of PDS business priorities, especially those pertaining to CMC development, new product introduction, and clinical supply chain.
Build relationships with key stakeholders and SMEs within the functions and Business Insights and Technology.
Follow coding best practices.
Demonstrate 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.
Build for data automation, cloud computing, and data lake integration within the team.
Explore 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.
Follow standards for the provision of analytics to support planning and decision-making processes and assist in appropriate escalation processes.

Benefits

Medical, pharmacy, dental, and vision care.
BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees))
160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
unlimited paid sick time
up to 2 paid volunteer days per year
summer hours flexibility
leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
an annual Global Shutdown between Christmas and New Years Day.