Director, Computational Engineering and Engineering Sciences

Quick Facts

• Onsite position requiring the team member to be onsite 4 days a week, and 1 day remotely
• No relocation is provided for this opportunity

Description

The Director of Computational Engineering & Engineering Sciences owns West’s enterprise capability for predictive engineering. The role develops and applies engineering sciences, computational methods, simulation, and validated digital engineering methodologies to establish technical confidence, improve engineering decision quality, and reduce dependence on physical iteration across early technology evaluation, product engineering, manufacturing development, and customer technical collaboration. The capability 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.

Responsibilities

Enterprise Predictive Engineering

• Own West’s enterprise Predictive Engineering capability
• Serve as enterprise authority for predictive engineering; establish methodologies, standards, and model validation practices
• Establish engineering methodologies that improve technical confidence through predictive analysis prior to physical iteration
• Develop reusable predictive engineering methodologies for 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 and technical risk reduction
• Lead application of structural mechanics, fluid dynamics, Moldflow, multiphysics simulation, optimization, and systems modeling
• Expand predictive engineering practices supporting feasibility and product development through simulation 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
• Develop engineering methodologies combining simulation, computational methods, and predictive engineering practices to accelerate 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 methodologies that reduce dependence on physical prototypes through validated predictive models
• Establish reusable predictive engineering methodologies, validated engineering models, and computational standards supporting multiple engineering organizations and product platforms
• Promote collaboration across pre-development, Product Engineering, Manufacturing Development, and Operating Units

Organizational Leadership

• Develop and grow West’s Predictive Engineering capability through direct technical leadership, strategic partnerships, and selective capability expansion
• Develop capability roadmaps, staffing recommendations, and investment strategies aligned with enterprise priorities and demonstrated business demand
• Promote continuous improvement in engineering methodologies supporting strategic growth platforms
• Ensure compliance with quality systems and applicable regulatory requirements
• Build strategic relationships with pharmaceutical customers, software providers, universities, research organizations, and external technology partners
• Develop long-term capability strategy including organization, technology, partnerships, and engineering methodology roadmaps

Education

• Bachelor’s degree in Mechanical Engineering, Biomedical Engineering, Applied Mathematics, Physics, Computer Science, Engineering Science, or related discipline required
• Master’s degree preferred
• Ph.D. desirable

Work Experience

• Minimum ten (10) years of engineering experience with significant emphasis on computational engineering, simulation, or predictive engineering
• Minimum seven (7) years of engineering leadership experience
• Demonstrated experience applying structural analysis, fluid dynamics, Moldflow, computational modeling, and engineering simulation to complex product development programs
• Experience establishing enterprise engineering methodologies or technical standards preferred
• Experience supporting regulated product development strongly preferred
• Experience collaborating with external customers or partners on predictive modeling, simulation, material interaction, or drug-container / drug-device technical evaluations preferred
• Demonstrated experience leading multidisciplinary analytical engineering organizations
• Experience applying enterprise AI capabilities within engineering simulation, optimization, or predictive engineering environments preferred

Requirements

• Onsite schedule: 4 days onsite and 1 day remote
• No relocation provided
• Bachelor’s degree in a relevant engineering/science/computing discipline
• 10+ years computational engineering/simulation/predictive engineering experience
• 7+ years engineering leadership experience
• Proven experience with structural analysis, fluid dynamics, Moldflow, computational modeling, and engineering simulation in complex product development
• Ability to establish enterprise predictive engineering methodologies and model validation practices
• Strong model validation/verification/uncertainty quantification knowledge
• Travel up to 20% (up to 52 business days per year)

Preferred Knowledge, Skills, and Abilities

• Expert knowledge of FEA, CFD, Moldflow, optimization methods, and systems modeling
• Strong understanding of engineering sciences supporting regulated product development
• Experience developing predictive engineering methodologies that improve decision quality
• Knowledge of digital engineering, model-based engineering, digital twins, and advanced computational methods
• Ability to translate computational analysis into practical engineering decisions
• Strong executive communication and influence across multiple organizations

Travel Requirements

• 20%: Up to 52 business days per year

Physical Requirements

• Light-exerting up to 20 lbs/9 kg of force frequently and/or negligible amount of force frequently constantly to move objects

What We Offer

• Community Involvement: volunteerism programs
• Continuous Learning & Development: training programs, tuition assistance, leadership development, and skill-certification initiatives
• Inclusive & Collaborative Culture
• Global Career Opportunities
• Recognition & Rewards: performance-based bonuses and service recognition
• Background screening contingent on satisfactory completion (where permitted by law)