Digital Transformation Lead – Knowledge Transfer Partnership Associate

University of Sunderland; Gateshead; On-site; GBP 35,000 - 50,000; Full time

Benefits offered by this job

Generous budget for training and development

Job summary

An academic institution is seeking a Digital Transformation Lead for a Knowledge Transfer Partnership. This role involves managing an Innovate UK project focused on enhancing manufacturing through data-driven techniques. Applicants should have a 2:1 engineering degree and relevant experience in programming. The position is temporary, with a commitment to diversity and inclusion in the workplace.

Qualifications

• 2:1 degree in electrical, mechanical, or mechatronics engineering required.
• Experience in programming or computer science is essential.

Responsibilities

• Manage and deliver the KTP project.
• Design and implement a data-driven manufacturing environment.

Skills

Programming

Data-driven manufacturing

Automation

Education

2:1 degree in electrical, mechanical or mechatronics engineering

Job description

Digital Transformation Lead – Knowledge Transfer Partnership Associate

Position: Digital Transformation Lead – Knowledge Transfer Partnership Associate at University of Sunderland, hosted by iPac Packaging Innovations, Gateshead. This is a 30‑month fixed‑term contact.

About iPac Packaging Innovations: iPac is a family‑run manufacturer of recycled packaging for the food and pharmaceutical industries, established in 2017, with over £20m turnover and 90+ employees across two North East sites. It prioritises innovation, quality, customer service and sustainability.

About the role

Your responsibilities will include managing and delivering an Innovate UK awarded KTP between the University of Sunderland and iPac Packaging Innovations, focusing on a strategic innovation programme within the company to significantly improve performance. As a team member, you will help design and implement a cutting‑edge, data‑driven manufacturing environment—bringing technologies like Digital Twin, automation, and predictive analytics into real‑world production.

Responsibilities

• Managing and delivering the KTP project.
• Designing and implementing a data‑driven manufacturing environment.

Qualifications

• 2:1 degree in electrical, mechanical, or mechatronics engineering.
• Experience in programming or computer science.
• Support, guidance and training will be provided; a generous budget for personal training and development is available.

Additional Information

Employment type: Temporary. Seniority level: Associate. Job function: Research. Industry: Higher Education.

Equality, diversity & inclusion: We strongly believe that an inclusive university, where a diverse range of individuals feel valued and have equal opportunity to get into work and reach their potential, is good for our staff, students, university, and society.

The closing date for applications is Sunday 4th January (23.59 GMT).

For any questions about this role, please contact: [e-mail]