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.
Product Design Change Management Integrity
* Strategy and Architecture – design, implement and manage end‑to‑end data platforms controlling product design change.
* Pipeline and Infrastructure – drive the creation of scalable pipelines for data ingestion, transformation and access, covering ECRs, ECPs and change implementation activities.
* Ensure design changes maintain data compliance with safety, security (RBAC) and secure data transfer protocols for sensitive data.
Data Governance and Quality through Technical Change Control
* Establish and enforce data management, security and compliance policies to ensure high data quality and integrity.
* Administer formal technical change control processes, evaluating impacts, dependencies and risks.
* Maintain accurate change histories and configuration baselines throughout the product lifecycle.
* Support configuration audits and design reviews with authoritative data sets.
Data Integrity & Assurance
* Ensure engineering data platforms remain accurate, complete, secure, fit for purpose and align with regulatory frameworks such as SOC2, ISO 27001 and HIPAA.
* Perform regular data quality assessments and audits to identify discrepancies or integrity risks.
* Drive continuous improvement initiatives to reduce data errors, re‑work and inefficiencies.
Cross‑Functional Collaboration
* Act as the primary interface between data sciences, analytics, engineering, manufacturing, quality, supply chain and programme teams on data‑related matters.
* Provide expert advice on data governance, emerging techniques and tools, drive adoption of new configuration status accounting and promote DevOps.
* Support internal and external stakeholders, including customers and regulatory authorities.
Tools, Systems & Continuous Improvement
* Manage and optimise the use of tools such as Apache Spark, AWS Glue, Databricks, or equivalent.
* Support system enhancements of data processing and transformation, migrations, and process improvements.
Qualifications
* 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 such as aerospace, defence, automotive, rail and energy.
Desirable Skills & Experience
* Experience with PLM/PDM systems such as Windchill, Teamcenter or Enovia.
* Knowledge of configuration management standards such as ISO 10007 and EIA‑649.
* Familiarity with quality and regulatory frameworks such as AS9100 and ISO 9001.
* Experience supporting audits, certifications or customer data deliverables.
* Understanding of digital thread and digital twin concepts.
* Highly organised with strong attention to detail.
* Analytical and methodical problem‑solver.
* Confidence in challenging non‑compliance and driving best practice.
* Comfortable working across multiple projects and prioritising effectively.
* Committed to continuous improvement and data excellence.
Benefits
* Competitive salaries.
* 25 days holiday plus statutory public holidays, with the opportunity to buy and sell up to 5 days.
* Contributory pension scheme up to 10.5% company contribution.
* Company bonus scheme (discretionary).
* Six times salary Life Assurance with pension.
* Flexible benefits scheme with extensive salary sacrifice options, including Health Cashplan, Dental and Cycle to Work.
* Enhanced sick pay.
* Enhanced family‑friendly policies including enhanced maternity, paternity and shared parental leave.
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