Detailed Description From Employer:
Kirtana consulting is looking for SME Manufacturing -IT-OT consultant for 6months rolling contract in London.
Job description:
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 modelling, 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 life cycle - Discovery, design, pilot, testing, deployment, and scaling.