Manager, Manufacturing Optimization Analytics

Role Overview

• 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.
• 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.
• 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.
• Conduct 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.
• Identify new opportunities to further leverage analytics, data, analytical tools, and AI.
• Actively manage multiple projects in parallel from charter through completion.
• Define standards for the provision of analytics to support planning and decision making processes, and utilizes appropriate escalation processes.

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.

Tech Stack

• Amazon Redshift
• AWS
• Cloud
• Postgres
• Python
• SQL

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.