We are seeking a highly experienced Lead Engineer in Dimensional Variation Analysis (DVA) to drive dimensional quality and manufacturing robustness across vehicle development programmes. This role focuses on GD and T, tolerance stack-up analysis, and variation control, while leading cross-functional teams and managing programme deliverables.

The ideal candidate will bring strong expertise in dimensional engineering tools, automotive systems, and program leadership to ensure fit, function, and aesthetic requirements are consistently achieved.

Dimensional Engineering and Analysis

Lead DVA activities for vehicle systems and sub-systems
Perform and review tolerance stack-up analysis across 1D, 2D, and 3D environments
Apply GD and T standards (ASME or ISO) across product designs
Conduct feasibility studies and optimise tolerances to meet functional and aesthetic requirements
Lead root cause analysis of dimensional issues and drive corrective actions

Software and Tools

Use advanced dimensional analysis tools such as 3DCS, VisVSA, CETOL, or equivalents
Perform simulation-based validation for dimensional performance
Support digital validation processes within product development cycles

Program Management

Own dimensional deliverables across vehicle programmes
Manage timelines, risks, and stakeholder expectations
Define and track KPIs for dimensional quality and variation control
Collaborate with global engineering teams to meet programme milestones

Cross-Functional Collaboration

Work closely with design, manufacturing, quality, and supplier teams
Ensure alignment between design intent and manufacturing capability
Drive standardisation and best practices in dimensional engineering

Leadership and Capability Development

Lead and mentor a team of engineers
Drive continuous improvement initiatives in dimensional analysis practices
Support innovation in modelling, simulation, and validation approaches

Education

Bachelor’s or master’s degree in mechanical or automotive engineering or a related field

Experience

Minimum 7+ years of experience in dimensional engineering or variation analysis
Experience in automotive OEM or Tier-1 supplier environment

Technical Skills

Strong expertise in:

GD&T (ASME Y14.5)
Tolerance stack-up analysis
Dimensional Variation Analysis methods
Hands-on experience with tools such as:
3DCS
CETOL
VisVSA or similar platforms

Domain Knowledge

Strong understanding of:

Body-in-White, closures, interiors, or vehicle systems
Manufacturing and assembly variation
Knowledge of statistical analysis methods such as Monte Carlo and worst-case analysis
Familiarity with quality systems and automotive standards

Leadership Skills

Proven experience leading technical teams
Strong programme management and stakeholder engagement skills
Effective communication across global and cross-functional teams
Ability to drive problem-solving and decision-making