Manager; Manufacturing Optimization Analytics

Bristol Myers Squibb•New Brunswick, NJ

66d

About The Position

The Manufacturing Optimization Analytics (MOA) team within Business Insights and Technology (BI&T) partners with the Bristol-Myers Squibb manufacturing operating units (Pharmaceuticals, Biologics, and Cell Therapies) to support data analytics for all key functions within the operating units. MOA focuses on answering key business questions that drive prioritized business decisions using advanced analytics and data science. The manufacturing operating units at Bristol-Myers Squibb supports the manufacture of all products, technology transfer, quality release, and distribution to patients. Their scope includes portfolio strategy, clinical supply manufacturing and distribution, network strategy, brand strategy, drug substance manufacturing, vector manufacturing, drug product manufacturing, commercial supply and distribution, and analytical development for all assets. The MOA group supports business analytics across this entire value chain. Job Description The Manager; MOA will be part of a collaborative data science and business insights team dedicated to answering key business questions for the Global Product Development and Supply (GPS) business units, and will report to the Senior Director; Manufacturing Optimization Analytics. The Manager will develop advanced data analytic tools to answer business operations and strategy questions for the member functions that enable end-to-end product development, manufacturing, and distribution activities. The successful candidate has a scientific background in life sciences or engineering and has expertise in one or more of the following areas: data analytics, data visualization, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and PowerBI dashboard development. Additionally, the successful candidate is an exceptional communicator with excellent presentation and writing skills, and is able to manage multiple priorities and projects.

Requirements

Ph.D. in engineering, pharmaceutical science, chemistry, biochemistry, physics or other quantitative area of study with 0-1 years of experience.
M.S in engineering, pharmaceutical science, chemistry, biochemistry, physics or other quantitative area of study with 1-3 years of experience.
B.S. in engineering, pharmaceutical science, chemistry, biochemistry, physics or other quantitative area of study with more than 3 years of experience.
3+ years hands-on working in the area of data science, data analytics, data integration, reporting.
3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, PowerBI, Redshift, Postgres, AWS Cloud, Athena, etc.).
Ability to architect analytic and data science solutions.
Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.
Exceptional project management skills with demonstrated ability to lead multiple projects and priorities.
Exceptional analytical skills with substantial knowledge of data analysis & data engineering.
Exceptional written and verbal communication skills.
Ability to quickly gain and apply functional area specific knowledge.
Ability to learn new tools and skills quickly.
Proven ability to manage a heavy workload.
Experience working in the pharmaceutical industry, supply chain, or analytics space.
Experience interpreting analytical results and ascertaining implications to the business.
Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
Exceptional creative problem solving skills to answer key business questions.
Ability to work with diverse teams across organizational lines and structures.

Responsibilities

Supporting Business Decisions - Work closely with functional area senior leaders to proactively identify and address priority business questions.
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 - Ensure consistent adoption of standards, processes and methodologies by contracted or other team staff. Continuously seek opportunities to enhance the team's overall productivity.
Work closely with business stakeholders to proactively identify and address priority business questions within the member functions. Work to embed an objective and unbiased point of view into the business conversation.
Drive the application of fact-based decision making for key questions within the business and portfolio deliverables enabling priority business choices.
Develops and maintains a deep understanding of the member functions' business priorities.
Builds relationships with key stakeholder and senior leaders within the functions and Business Insights and Technology.
Demonstrates ability to influence senior leaders to adopt analytics-derived insights.
Conducts detailed team walkthroughs and peer review of team's work to ensure quality, cross-training and knowledge management within the team.
Leads standardization of analytics and process methodologies in GPS Analytics Development.
Authors detailed documentation that describes analytics tool development, assumptions and input data and data processing. Authors user manual for dissemination within stakeholder user base.
Guides external consultants in adoption of standards.
Designs, develops and implements a broad array of business analytics that solve complex problems in a computationally efficient and statistically appropriate manner.
Identifies new opportunities to further leverage analytics, data and analytical tools.
Actively manages multiple projects in parallel from charter through completion.
Ensures best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization and subject matter expertise.
Defines standards for the provision of analytics to support planning and decision making processes, and utilizes appropriate escalation processes.
Acts as subject matter expert of the Bristol-Myers Squibb technology stack within team and provides technical leadership for driving technology solutions in analytics deployment.
Drives capability build for data automation, cloud computing and data lake integration within team.
Contributes to defining the overall team strategy in collaboration with team leadership.

Benefits

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.
Medical, pharmacy, dental and vision care.
Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP).
Financial well-being resources and a 401(K).
Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.
Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
Parental, caregiver, bereavement, and military leave.
Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
Other perks like tuition reimbursement and a recognition program.

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