Engineering Data Manager

Job Title

Engineering Data Integrity Lead

Engineering

Gloucester

Clearance Required

Baseline BPSS and SC

For further information on security clearances please visit this website:

National security vetting: clearance levels -

Permanent

37hrs per week

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.

The Engineering Data Manager is responsible for the governance, integrity, and lifecycle management of engineering data across product development and in‑service support activities. This role ensures that product design changes, technical changes, and configuration data are accurately controlled, authorised, and maintained within approved systems in accordance with internal procedures, customer requirements, and regulatory standards.

The position plays a critical role in safeguarding product and system data integrity during the exploitation of engineering data
, establishing trusted data foundations that enable advanced analytics and the responsible adoption of Artificial Intelligence technologies, including Generative AI and Large Language Models
.

• HNC/HND or Degree in Engineering, Engineering Management, or a related technical discipline.
• Proven experience in engineering data management, configuration control, or design change management.
• Strong understanding of product lifecycle management (PLM) concepts.
• Experience managing design and technical change in complex engineering environments.
• Demonstrated ability to maintain high levels of data integrity, accuracy, and traceability.
• Strong stakeholder management and communication skills.
• Ability to work effectively in regulated industries (e.g. aerospace, defence, automotive, rail, energy).

• Experience with PLM/PDM systems such as Windchill, Teamcenter, or Enovia.
• Knowledge of configuration management standards (e.g. ISO 10007, EIA‑649).
• Familiarity with quality and regulatory frameworks (e.g. AS9100, ISO 9001).
• Experience supporting audits, certifications, or customer data deliverables.
• Understanding of digital thread / digital twin concepts.
• Highly organised with strong attention to detail.
• Analytical and methodical problem‑solver.
• Confident in challenging non‑compliance and driving best practice.
• Comfortable working across multiple projects and prioritising effectively.
• Committed to continuous improvement and data excellence.

• Own and maintain the integrity of engineering data infrastructure, defining strategy and leading the technical execution of change to ensure reliable data pipelines for analytics and business needs.
• Enable rapid improvements in Master Data quality to support effective data exploitation and the adoption of new and evolving systems.
• Ensure raw engineering data is accurately transformed into usable data assets through effective structuring, version control, and full traceability of product definitions, including drawings, models, specifications, and Bills of Material (BOMs).
• Support the exploitation of engineering data by ensuring data integrity (design pipelines that handle dirty data and flag discrepancies) underpins current and future business needs.
• Enable and support organisational AI initiatives by providing trusted data foundations and deploying advanced technologies and tools, including Generative AI and Large Language Models, to end users.
• Establish and enforce data standards, naming conventions, and classification rules across engineering datasets.

• Strategy and Architecture –…