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

Position 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 team’s 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.

Qualifications & Experience
Minimum 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 PDS-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.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. 

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit
 

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.

• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

• Financial Well-being and Protection: 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.

​Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include 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 and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.