Manager, Manufacturing Optimization Analytics

Manager, Manufacturing Optimization Analytics

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.

Key Responsibilities

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.

· 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.

Qualifications & Experience

Minimum Qualifications

· 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.

Experience

· 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…