Digital Data Lead - AI-Driven Engineering Transformation
Gkn Aerospace
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Benefits offered by this job
Job summary
GKN Aerospace, based at the Global Technology Centre in Bristol, seeks a Senior Engineer – Digital Data Lead to drive data governance, AI adoption, and platform optimisation across the product lifecycle. You will collaborate with Engineering, Manufacturing, Quality, IT, and Programs to enable a connected Model‑Based Enterprise environment.
The role focuses on deploying and governing PLM/MBSE/ALM platforms, leading data architecture, and delivering AI-enabled capabilities to improve productivity
Qualifications
- Significant experience in Engineering Data Management, PLM, MBSE, Systems Engineering, Digital Engineering, or related technical leadership roles.
- Experience developing and implementing engineering lifecycle management strategies, governance frameworks, and digital transformation initiatives.
- Experience leading engineering platform deployment, optimisation, integration, or continuous improvement programmes.
- Experience delivering organisational change and driving adoption of new processes, technologies, and ways of working.
- Experience assessing, implementing, or governing AI, analytics, automation, or digital technologies within engineering or manufacturing environment
Responsibilities
- Lead deployment, governance, and integration of engineering lifecycle platforms (PLM/MBSE/ALM) and ensure end-to-end data connectivity.
- Drive Engineering AI adoption roadmap and deliver AI-enabled capabilities to boost productivity and decision-making.
- Establish and maintain engineering data governance frameworks and ownership models to meet regulatory and security requirements.
- Define metrics for engineering data and AI performance and provide data-driven insights for performance and lifecycle improvements
Skills
Education
Tools
Job description
GKN Aerospace, based at the Global Technology Centre in Bristol, seeks a Senior Engineer – Digital Data Lead to drive data governance, AI adoption, and platform optimisation across the product lifecycle. You will collaborate with Engineering, Manufacturing, Quality, IT, and Programs to enable a connected Model‑Based Enterprise environment.
The role focuses on deploying and governing PLM/MBSE/ALM platforms, leading data architecture, and delivering AI-enabled capabilities to improve productivity
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