Manager, Manufacturing Optimization Analytics

Position Summary

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.

The Manager;
Manufacturing Optimization Analytics will partner with stakeholders from the member functions and Business Insights and Technology stakeholders to establish core capabilities within the team, namely:

• Supporting Business Decisions
  • Work closely with functional area senior leaders to proactively identify and address priority business questions.
  • Drive the application of fact‑based decision making for key questions within the business and portfolio deliverables enabling priority business choices.
  • Develop a deep understanding of the member functions’ business priorities.
  • Build relationships with key stakeholders and senior leaders within the functions and Business Insights and Technology.
  • Demonstrate ability to influence senior leaders to adopt analytics‑derived insights and automated, AI platforms.
• Driving Analytics and Capabilities
  • Design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient and statistically appropriate manner.
  • Identify new opportunities to further leverage analytics, data, analytical tools, and AI.
  • Actively manage multiple projects in parallel from charter through completion.
  • Ensure best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization and subject matter expertise.
  • Define standards for the provision of analytics to support planning and decision‑making processes, and utilize appropriate escalation processes.
  • Act as subject‑matter expert of the Bristol‑Myers Squibb technology stack within the team and provide technical leadership for driving technology solutions in analytics deployment.
  • Drive capability build for data automation, cloud computing, data lake integration, scalable software platforms and AI within the team.
  • Contribute to defining the overall team strategy in collaboration with team leadership.
• Driving Team Productivity and Operational Excellence
  • Conduct detailed team walkthroughs and peer review of team’s work to ensure quality, cross‑training and knowledge management within the team.
  • Lead standardization of analytics and process…