Manufacturing Optimization Analytics Lead

Bristol-Myers Squibb; New Brunswick (NJ); On-site; USD 95,970 - 116,287; Full time

Job summary

Bristol Myers Squibb is seeking a Manager for Manufacturing Optimization Analytics in New Brunswick, NJ. You will lead cross-functional analytics efforts across product development and supply, building AI-driven solutions to optimize manufacturing and distribution.

The role requires advanced degrees and extensive data science, visualization, and cloud skills. Strong communication and project leadership are essential, with a focus on end-to-end analytics across the value chain.

Qualifications

• Ph.D./MS/BS in quantitative field with relevant experience in data analytics and engineering.
• Proven ability to architect analytic and data science solutions.
• Experience with data integration, visualization, and AI.
• Experience in pharmaceutical manufacturing or related industry is a plus.

Responsibilities

• Partner with functional leaders to identify priority business questions.
• Develop analytics tools and AI to address end-to-end product development, manufacturing and distribution.
• Standardize analytics methodologies and documentation for dissemination.
• Lead multiple projects and manage stakeholder expectations.
• Drive adoption of AI platforms and cloud-based data solutions.

Skills

Data analytics

Data visualization

Statistics

Machine learning

Python

R

PowerBI

App development

Education

Ph.D. in engineering, pharmaceutical science, chemistry, biochemistry, physics or related

MS in engineering, pharmaceutical science, chemistry, biochemistry, physics or related

BS in engineering, pharmaceutical science, chemistry, biochemistry, physics or related

Tools

SQL

PowerBI

AWS

SAP HANA

Postgres

Python

R

Job description

Bristol Myers Squibb is seeking a Manager for Manufacturing Optimization Analytics in New Brunswick, NJ. You will lead cross-functional analytics efforts across product development and supply, building AI-driven solutions to optimize manufacturing and distribution.

The role requires advanced degrees and extensive data science, visualization, and cloud skills. Strong communication and project leadership are essential, with a focus on end-to-end analytics across the value chain.