Job Description Grade UE07 £41,064 - £48,822 per annum CSE / The Data Lab Full-Time: 35 hours per week Fixed Term to 31st July 2027 The Training Manager will deliver Data & AI leadership and professional development training within The Data Lab Academy Programme. The successful candidate will facilitate learning for organisational leaders, professionals, and postgraduate students, ensuring they acquire foundational knowledge and strategies to build data and AI skills for successful and responsible technology adoption. This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Degree in relevant subject or equivalent formal training, plus a hands-on experience in a similar or related role(s) Training Expertise: Proven experience in delivering high-quality, engaging training sessions, particularly in data and AI. Innovative Thinking: Capable of integrating innovative techniques into training delivery to enhance learning experiences. Analytical Skills: Ability to gather and analyse feedback to inform ongoing improvements Click to view a copy of the fulljob description (opens new browser tab) Application Please ensure you include the following documents in your application: CV Cover letter As a valued member of our team you can expect: A competitive salary An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits Championing equality, diversity and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab) On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK Key dates to note The closing date for applications is 21st August 2025. Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. About Us As a world-leading research-intensive University, we are here to address tomorrow's greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally. About the Team The Data Lab is Scotland's Innovation Centre for data and AI. Our mission is to help Scotland maximise value from data and lead the world to a data powered future. The Data Lab is one of 8 Innovations Centres created by the Scottish Government. Based at the University of Edinburgh, our goal is to deliver economic and social benefit to Scotland through the application of data science. Specifically we fund: - Collaborative innovation between academia, industry and the public sector. - A skills and training programme designed to increase the talent pool in Scotland. - Community building events to promote data science in Scotland. Our remit is to work across Scotland and, in addition to our main office in Edinburgh, we also have offices in Aberdeen (Robert Gordon University) and Glasgow (Glasgow University). For more information, visit https://www.thedatalab.com/