Manager Manufacturing Operations Analytics

Profile

Bristol-Myers Squibb is a global Biopharma company committed to a single mission: to discover, develop, and deliver innovative medicines focused on helping millions of patients around the world in disease areas such as oncology, cardiovascular, immunoscience and fibrosis.

Join us and make a difference. We hire the best people and provide them with a work environment that places a premium on diversity, integrity, collaboration and personal development. Through a culture of inclusion, we create a better, more productive work environment. We believe that the diverse experiences and perspectives of all our employees help to drive innovation and transformative business results.

The GPS (Global Product and Supply) Analytics and Data Science team within Business Insights and Analytics partners with the BMS GPS organization to support data analytics for all key functions within GPS including Manufacturing Operations. GPS Analytics focuses on answering key business questions that will drive prioritized business decisions using advanced analytics and data science. The Manufacturing Operations organization at BMS supports drug product manufacturing from commercialization through end of lifecycle. Manufacturing Operations scope includes Plant Operations, Science & Technology (MS&T), Internal Manufacturing, External Manufacturing and Network Strategy and Business Operations. The Manager, Manufacturing Operations Analytics will partner with the Associate Director of Manufacturing Operations Analytics to answer key business questions within the Internal Manufacturing Operations space with an emphasis on the Biologics Operations. The successful candidate has a background in Manufacturing Operations and has expertise in one or more of the following areas: data analytics, data visualization, statistics, machine learning, predictive modeling, artificial intelligence, Python and R coding, R Shiny app development, and Tableau/Spotfire dashboard development.

The Manager, Manufacturing Operations Analytics and Data Science will partner with the Associate Director of Manufacturing Operations Analytics to establish core capabilities within the team, namely:

Supporting Business Decisions – Work closely with business stakeholders to proactively identify and address priority business questions within Manufacturing Operations.

Driving Analytics and Capabilities – Answer key business questions using innovative analytic and data science techniques, assist with establishing core analytical and data science capabilities, standards, processes and methodologies for the team.

Driving Team Productivity and Operational Excellence – Play a critical role in managing team productivity, timeliness and quality of deliverables. Ensure consistent adoption of standards, processes and methodologies by contracted or other team staff. Continuously seek opportunities and approaches for enhancing the team’s overall productivity.

Supporting Business Decisions

Identifies and contextualizes critical business issues, working to embed an objective and unbiased point of view into the business conversation.

Drives the application of fact based decision making for key questions within the Manufacturing portfolio enabling priority business choices.

Develops and maintains a deep understanding of Manufacturing, and plant operations business priorities, meeting agreed upon analytics deliverables / timing.

Driving Analytics and Capabilities

Designs, develops and implements a broad array of business analytics that solve complex problems in a computationally efficient and statistically effective manner.

Identifies new opportunities to further leverage analytics, data and analytical tools.

Ensures best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization and subject matter expertise.

Proactively manages planned and ad hoc analytics requests, ensuring consistent quality and timeliness in delivery to business stakeholders.

Leverages standards for the provision of analytics to support planning and decision making processes, and utilizes appropriate escalation processes.

Provides input/feedback and works actively to improve and enhance capabilities related to the GPS BIA team

Supports culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.

Driving Team Productivity and Operational Excellence

Supervises and collaborates closely with external analytics contractors and vendors when applicable or assigned.

Conducts detailed team walkthroughs and peer review of team’s work to ensure quality, cross training and knowledge management within the team.

Ensures consistent adoption of standards, processes and methodologies by contracted or other team staff.

Authors detailed documentation that describes analytics tool development, assumptions and input data and any specialized data treatments. Authors user manual for dissemination within Manufacturing Operations user base.

List of minimum requirements

BA/BS required (quantitative area of study or engineering)

MSci, MEng or other Masters in quantitative area of study, analytics or data science preferred

Experience – Responsibility and minimum number of years

5 years hands-on working in the area of data science, data analytics, data integration, reporting.

5 years of hands-on experience with analytics, modeling platforms, data manipulation software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, Spotfire, Tableau, Microsoft Suite, Hadoop, Redshift).

Experience working in the manufacturing space. Experience working in a GMP arena is a plus.

Experience interpreting analytical results and ascertaining implications to the business.

Experience interacting with business stakeholders understanding, anticipating, and fulfilling their insight/analytical information requirements.

Experience managing a team of contracted resources.

Competencies – knowledge, skills, abilities, other

Strong creative problem solving skills to answer key business questions.

Ability to work with diverse teams across organizational lines and structures.

Strong project management skills with demonstrated ability to lead multiple projects and priorities.

Strong analytical skills with substantial knowledge of data analysis & data engineering.

Strong written and verbal communication skills.

Ability to quickly gain and apply quality specific knowledge.

Ability to learn new tools quickly.

Proven ability to lead small teams/groups and manage a heavy workload.

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 the resources to pursue their goals, both at work and in their personal lives.

Bristol-Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Company info

Bristol-Myers Squibb Company
Website : http://www.bms.com