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MR2686: Quality Lead (Strategy & Programme) (Ref: 250200235)

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About SAESL

A joint venture company between Rolls-Royce Plc and SIA Engineering Company. The company first started operations in 2001 and has since become a market leader for both engine overhaul and component repair services.

As a result of the sustained business growth, SAESL has continued to expand its facilities and develop new capabilities for both its engine overhaul and component repair businesses. The Engine Overhaul business has the capability to service all products in the Trent engine family, this includes: Trent 500, Trent 700, Trent 800, Trent 900, Trent 1000 and Trent XWB; SAESL is the only Trent engine MRO that can support all product variants. The Engine Overhaul business has the capacity to repair and overhaul over 300 Trent engines per year and it is equipped with a state-of-the-art Engine Test Facility that supports our best in class engine turnaround times.

Why Join SAESL

  • Staff Benefits (Comprehensive Medical Coverage, Flexible Benefits, Company Transport)
  • Training/Career Progression Opportunities
  • Job Security

About this role

The Quality Strategy & Programme Lead plays a critical role in driving quality transformation through data analytics, programme management, and structured problem-solving methodologies. This role ensures that data-driven insights shape quality improvements, defect prevention strategies, and risk mitigation initiatives. The position also acts as the Problem-Solving Standard Owner, embedding structured methodologies such as 8D & RCCA within the organization to enhance defect reduction efforts.

This role ensures that Digital Quality Management Systems (QMS), AI-powered analytics, and performance dashboards are leveraged to improve operational quality and decision-making. Additionally, it integrates cross-functional collaboration with Engineering, Operations, and Quality teams to align quality objectives with business strategy.

Job Description
Data Governance & Performance Measurement

  • Establish and maintain governance frameworks for data structure, ensuring accuracy, consistency, and traceability in defect tracking and compliance reporting.
  • Develop and oversee enterprise-wide quality KPIs and dashboards, ensuring leadership has actionable insights for strategic decision-making.
  • Implement and manage predictive analytics and AI-driven insights to proactively identify and mitigate quality risks before they escalate.
  • Standardise defect reporting and root cause analysis methodologies across all business units, ensuring uniformity in data-driven quality management.

Programme Management & Strategic Quality Initiatives

  • Lead and manage enterprise-wide quality programmes, ensuring alignment with the Zero Defects Strategy and broader business objectives.
  • Lead and establish the Defect Analytics Hub, ensuring data-driven insights lead to tangible quality improvements and risk mitigation strategies.
  • Drive initiatives under the Digital Quality Transformation Programme, ensuring integration of smart tools, AI-driven analytics, and digital quality management systems (QMS).
  • Coordinate cross-functional quality improvement projects, ensuring best practices are shared and implemented across operational and support functions.

Data-Driven Continuous Improvement & Risk Mitigation

  • Utilise data analytics and defect trend analysis to identify systemic quality issues and lead structured corrective actions.
  • Ensure data-backed risk assessments support decision-making in quality, compliance, and engineering changes.
  • Implement lessons-learned programmes, ensuring insights from past quality incidents are used to prevent future occurrences.
  • Oversee compliance with data integrity standards and ensure alignment with regulatory and customer reporting requirements.

Leadership, Collaboration & Capability Development

  • Provide training and guidance to Quality Managers, Engineers, and Business Leaders on data-driven quality management and programme execution.
  • Collaborate with Operations, Engineering, and Supply Chain teams to integrate data-driven decision-making into quality improvement initiatives.
  • Foster a data-driven quality culture, ensuring that employees at all levels understand and utilise quality data for operational improvements.　

Requirements

  • Bachelor’s degree in Engineering, Quality Management, Data Analytics, Aviation Maintenance, or a related field.
  • Certifications such as Lean Six Sigma (Green/Black Belt), AS9110, ISO 9001 Lead Auditor, or Data Analytics certifications are beneficial.
  • 8+ years of experience in Quality Assurance, Data Analytics, Compliance, or Risk Management in an MRO, Aerospace, or Manufacturing environment.
  • Proven experience in defect analytics, process improvement, and quality data management.
  • Experience with digital quality management systems (QMS), statistical process control (SPC), and predictive analytics tools.
  • Strong background in managing enterprise-wide quality programmes and cross-functional projects.
  • Previous experience in regulatory compliance (EASA Part 145, CAAS, FAA, or similar aviation regulations) is preferred.