PI Specialist

The Engineering PI Specialist (ERS) is responsible for the accurate, timely, and high-quality execution of engineering change releases into the Bill of Materials (BOM). The role forms the operational backbone of Release Operations, ensuring engineering data is correctly processed, validated, and released to support programme milestones and business objectives. Through rigorous attention to detail and collaboration with Engineering and cross-functional teams, the ERS helps maintain BOM integrity, minimise downstream issues, and ensure product definition data is fit for purpose.

Due to the nature of our customer engagements, this role is currently open as both an inside IR35 contract or full-time employed. Remuneration will be determined based on the individual’s relative skill set, experience and overall fit for the role.

Area of Responsibility

• Ensures engineering changes are released accurately and on time
• Provides BOM and commodity knowledge to support collaboration with Engineering, ensuring BOM quality and data integrity
• Reduces downstream manufacturing, procurement, and engineering issues
• Supports delivery of programme and vehicle milestone commitments
• Execute BOM releases in accordance with agreed priorities, timelines, criteria and expectations
• Manage assigned workload effectively to support programme delivery
• Conduct BOM and change quality checks before release (e.g Usage Universe), to ensure released data meets quality standards
• Collaborate with Engineering and supporting functions to understand changes and resolve data issues as part of the change management process
• Escalate any blockers and quality concerns which they are unable to resolve independently to Supervisors or Technical Leads
• Support resolution activities related to BOM issues in line with AIMS
• Undertake any other work as directed by their line manager in connection with their job as may be requested from time to time

Knowledge / Experience

• BOM and commodity specialist
• Engineering release processes and systems
• Data analysis and quality checking skills
• Problem-solving and root cause investigation
• Excellent communication and stakeholder engagement
• Attention to detail, accuracy and quality assurance mindset
• Ability to prioritise and manage workload