Manager, Manufacturing Optimization Analytics

Bristol Myers Squibb • Devens, MA

5d • Hybrid

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, data science, and AI. The manufacturing operating units at Bristol-Myers Squibb support 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. The Manager; MOA will be part of a collaborative data science and business insights team dedicated to answering key business questions for the Product Development and Supply (PDS) business units, and will report to the Director; Manufacturing Optimization Analytics. The Manager will develop advanced data analytic tools and AI 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, including platform software solutions, and AI.
• 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.

Nice To Haves

• Scientific background in life sciences or engineering
• Expertise in 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.

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, platforms, 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 and automated, AI platforms.
• 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 PDS 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, analytical tools, and AI.
• 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, data lake integration, scalable software platforms, and AI within team.
• Contributes to defining the overall team strategy in collaboration with team leadership.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree