N

Functional SME

salary Salary :

£600 - 700 monthly

icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Functional SME

Possibility of remote work: No, fully onsite
Contract duration: 6 months
Location: London, UK

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JOB DETAILS

Role Title: Functional SME

Required Core Skills:

- Subject matter expert in Manufacturing – IT-OT, Digital & Autonomous Mfg
- Ability to collaborate and execute large, complex, Digital Transformation projects.
- Excellent communication skills, Team player, Advise large delivery team
- Strategic and business acumen
- Executive presence

Minimum years of experience: 15 years

Detailed Job Description:

This initiative requires strong manufacturing domain expertise, particularly in bottling plant operations, to gather and standardize requirements across geographically distributed sites and to design a robust, scalable solution blueprint. Deep understanding of IT-OT integration, manufacturing processes, process modeling, familiarity with industry standards such as ISA-95 for enterprise-control system integration. The Functional Consultant will play a pivotal role in bridging business needs with technical implementation, ensuring that the Digital Twin architecture aligns with both operational workflows and strategic KPIs.

Areas of responsibility:

- Leading requirement-gathering workshops with plant stakeholders.
- Partner with business teams analyze as-is processes and translate operational challenges into digital use cases for process optimization, operational excellence, and energy optimization.
- Define functional requirements and translate them into technical specifications.
- Validating process flows and ensuring alignment with KPIs such as OEE, yield, and sustainability.
- Support the design of the DT architecture, including data models, simulation logic, and visualization layers.
- Collaborating with development team to create user stories, test scenarios, and training materials.
- Leveraging knowledge of bottling line equipment, SCADA/MES systems, and quality control processes to ensure the solution reflects real-world plant dynamics.
- Enable integration with digital models and AI/ML algorithms for continuous improvement.
- Active participation in Digital twin project lifecycle – Discovery, design, pilot, testing, deployment, and scaling.

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