AI-Driven Digital Data Lead | Flexible Hours

GKN; Bradley Stoke; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Industry Leading Pension Scheme

Life Assurance 8 x salary

Up to 15% Bonus

EV salary sacrifice scheme

25 days holiday + bank holidays

Flexible working hours

Income protection

Shopping discounts

Cycle To Work Scheme

Employee Assistance Programme

Virtual GP Clinic

Job summary

GKN Aerospace seeks a Senior Engineer - Digital Data Lead to drive the governance, integration, and continuous improvement of Hydrogen Systems Engineering Data Management and AI adoption across the product lifecycle.

You will enable a connected Model-Based Enterprise environment by optimizing engineering data platforms and driving data governance across Engineering, Manufacturing, Quality, Programmes, and IT.

Qualifications

• Significant experience in Engineering Data Management, PLM, MBSE, or related leadership roles.
• Experience developing lifecycle management strategies and governance frameworks.
• Experience leading platform deployment, integration, and continuous improvement programmes.

Responsibilities

• Deploy and govern engineering lifecycle management platforms (PLM/MBSE/ALM) and ensure end-to-end data connectivity.
• Lead AI adoption roadmap and deliver AI-enabled capabilities to boost productivity and decision-making.
• Establish and maintain data governance frameworks, standards, and ownership models.
• Define and monitor data/AI performance measures to support engineering outcomes.

Skills

Engineering Data Mgmt

PLM

MBSE

Systems Engineering

Digital Engineering

AI-enabled engineering

Data governance

Education

Degree in Engineering/Systems Engineering/Data Management

Tools

PTC Windchill

Codebeamer

Modeler

Job description

GKN Aerospace seeks a Senior Engineer - Digital Data Lead to drive the governance, integration, and continuous improvement of Hydrogen Systems Engineering Data Management and AI adoption across the product lifecycle.

You will enable a connected Model-Based Enterprise environment by optimizing engineering data platforms and driving data governance across Engineering, Manufacturing, Quality, Programmes, and IT.