Director, Computational Engineering and Engineering Sciences

Director, Computational Engineering and Engineering Sciences

This is an onsite position requiring the team member to be onsite 4 days a week, and 1 day remotely. No relocation is provided for this opportunity. At West, we're a dedicated team that is connected by a purpose to improve patient lives that has been at the center of our Company for more than a century. A name started our story.

How will yours help write our future? There's no better place to join an inclusive community of professionals with opportunities for lifelong learning, growth and development. Supported by benefit programs, we empower the physical, mental, emotional and financial health of our team members and their families. We believe in giving back to help those in need in the communities where we live and work.

And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary

The Director of Computational Engineering & Engineering Sciences owns West's enterprise capability for predictive engineering. This role develops and applies engineering sciences, computational methods, simulation, and validated digital engineering methodologies that establish technical confidence, improve engineering decision quality, and reduce dependence on physical iteration throughout early technology evaluation, product engineering, manufacturing development, and customer technical collaboration. The capability partners closely with Enterprise AI Strategy & Solutions, applying enterprise AI capabilities within engineering to strengthen predictive engineering, engineering methodologies, and engineering decision quality.

This role integrates structural analysis, fluid dynamics, Moldflow, metrology, computational modeling, analytical engineering, and predictive engineering into a unified enterprise capability supporting Central R&D, Operating Units, customers, and external technology partners. Working across pre-development, Product Engineering, Manufacturing Development, Digital Platforms, and Operating Units, this role partners with engineering organizations to establish predictive engineering methodologies that improve technical confidence and engineering decision quality across the enterprise.

Success is measured by the organization's ability to establish reusable predictive engineering methodologies that improve engineering decision quality across multiple product platforms and engineering organizations.

Essential Duties and Responsibilities

Enterprise Predictive Engineering

Own West's enterprise Predictive Engineering capability

Serve as West's enterprise authority for predictive engineering, establishing methodologies, standards, and model validation practices that improve technical confidence and engineering decision quality across multiple engineering Organizations.

Establish engineering methodologies that improve technical confidence through predictive analysis prior to physical iteration.

Develop reusable predictive engineering methodologies supporting pre-development, product engineering, manufacturing development, and customer technical collaboration.

Establish enterprise standards governing computational engineering methods, simulation quality, and engineering model validation.

Predictive Engineering Applications

Develop enterprise predictive engineering methodologies supporting concept evaluation, technical risk reduction, and early product realization.

Lead application of structural mechanics, fluid dynamics, Moldflow, multiphysics simulation, optimization, and systems modeling throughout product development.

Expand predictive engineering practices supporting concept evaluation, feasibility, and product development through simulation, engineering sciences, and validated computational methods.

Improve engineering decision quality through predictive analysis and engineering trade studies.

Support architecture evaluation, engineering optimization, and technical risk reduction using computational methods.

Develop computational methodologies supporting customer collaboration on predictive evaluation of drug-device, drug-container, and material interaction.

Engineering Integration of Enterprise AI

Define engineering use cases and integrate enterprise AI capabilities into predictive engineering methodologies where they improve technical confidence, engineering productivity, and engineering decision quality.

Develop engineering methodologies that combine simulation, computational methods, and predictive engineering practices to accelerate technical learning and reduce engineering uncertainty.

Engineering Capability Development

Integrate Structural Engineering, Fluid Engineering, Moldflow, Metrology, Computational Modeling, and Analytical Engineering into a unified enterprise capability.

Develop engineering methodologies that reduce dependence on physical prototypes through validated predictive models.

Establish reusable predictive engineering methodologies, validated engineering models, and computational standards…