Manager, Manufacturing Optimization Analytics

About the role

The Manager; Manufacturing Optimization Analytics (MOA) will partner with stakeholders from the member functions and BI&T stakeholders to establish core capabilities within the team, namely supporting business decisions, driving analytics and capabilities, driving team productivity and operational excellence.

Responsibilities

• Partner with stakeholders from the member functions and BI&T stakeholders to establish core capabilities within the team, namely supporting business decisions, driving analytics and capabilities, driving team productivity and operational excellence.
• Work closely with functional area senior leaders to proactively identify and address priority business questions.
• 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.
• Ensure consistent adoption of standards, processes and methodologies by contracted or other team staff.
• Continuously seek opportunities to enhance the team’s overall productivity.
• Supports business decisions by working closely with business stakeholders to proactively identify and address priority business questions within the member functions.
• Drive the application of fact-based decision making for key questions within the business and portfolio deliverables enabling priority business choices.
• Builds relationships with key stakeholder and senior leaders within the functions and BI&T.
• Demonstrates ability to influence senior leaders to adopt analytics-derived insights and automated, AI platforms.
• Drives team productivity and operational excellence by conducting detailed team walkthroughs and peer review of team's work to ensure quality, cross-training and knowledge management within the team.
• 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.

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.
• 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 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 various teams across organizational lines and structures.