Business Technologist

We have x2 exciting opportunity to join the University’s Digital Transformation programme as a Business Technologist in our AI Competency Centre working on a hybrid basis. A minimum of two days in the office, one of which is a fixed team day on Tuesdays.

As part of our Digital Transformation Programme, launched in 2022, we are working closely with staff and students to imagine how the University’s culture, processes and technology must evolve in the digital era. The programme is enabling Oxford to preserve its unique place in the world by being digitally fit for the future.

The post holder will be required to work within the AI Competency Centre (or ‘Centre of Excellence’), where the aim is to provide centralised expertise on modern AI & ML methods and tools, and to support their adoption across the University including in research, administration and teaching.

About the Role

This is an exciting opportunity to join a newly created team helping people across the University of Oxford to understand and deploy machine learning and artificial intelligence tools, to support their work in research, education and administration.

Responsibilities will include:

• Providing business leadership for the centre; working independently to identify, address and resolve business unit needs at a function, department or divisional level; build business cases and gain approval for departmental solutions to business problems; solve practical business problems through the application of the appropriate AI & ML technologies and performing one to one consulting with users.
• Working with existing divisional/functional teams on technical elements of service improvement; communicate detailed and complex matters to senior business stakeholders; improving centre outcomes through the creation of knowledge networks; representing the centre in the use of technology/models for larger enterprise level projects and improving digital skills through the delivery/provision of training relevant to the objectives of the centre.

 About You

• You will be educated to degree level in a computing or IT related subject or able to offer the equivalent in terms of professional training and experience, and be familiar with modern AI & machine learning approaches.
• We are also looking for you to have experience in the higher education Sector or with higher education institutions, of introducing change into a significant business activity or process and experience of implementing AI/ML technology within a business, research or educational context.
• You should also have experience of building communities of practice or user groups, and possess strong organisational, planning and project management skills and experience, with the ability to run workshops and manage groups of people to deliver objectives, inspiring confidence in the process to participants.

Application Process

You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application.

The closing date for applications is 12 noon on Monday 13 May 2024.

Interviews will take place week commencing 20 May 2024 and will be face to face.