

Cardiff
New Jobs
Permanent
£52,397 - £62,699 a year
Candidates must be eligible to obtain SC clearance
Across government, digital and technology transformation is no longer simply an enabling function; it is central to how public bodies deliver better services, protect resilience, support policy outcomes and respond to the growing expectations of citizens, businesses and colleagues. Ofgem has a vital role in the UK?s energy system, protecting consumers and helping to enable a more secure, fair and sustainable energy future. As the organisation continues to evolve, our newly designed Digital, Data and Security Services (DDSS) team will be critical to how Ofgem modernises its services, strengthens its platforms and supports wider government priorities.
Ofgem is on an exciting transformational journey. Within DDSS, we are strengthening the foundations of both our entire function and all elements of our DDSS estate, building greater internal capability and creating the platforms, services and governance needed to support a modern regulator. In short, this is an opportunity to join Ofgem at a pivotal moment and help shape the next stage of its digital, data, security, and technology maturity.
About the role
As the Data and AI Adoption Lead at Ofgem, you will play a key role in improving the organisation?s ability to use data and AI to make better decisions, develop effective policies and deliver high-quality services. You will lead initiatives to increase data and AI literacy across Ofgem, developing the skills, awareness and confidence needed to and ensure data and AI is properly used and managed. Working closely with stakeholders, you?ll understand the challenges and obstacles to the exploitation of data and AI within Ofgem. You?ll develop learning, assessment and engagement approaches to support the ethical and responsible use of data and AI.
You will be responsible for:
Essential Criteria
This is an opportunity to play a significant role in Ofgem?s journey, as part of a newly formed and high-performing team that is shaping a critical government organisation at a time when its work has never been more important.
If you are interested in applying for this vacancy, please reach out to Lawrence Harris on 020 8253 1806, or via email at Ofgem-DAIL@global-resourcing.com.
We'll assess you against these behaviours during the selection process:
We'll assess you against these technical skills during the selection process:
As part of your application, you will be asked to upload a 2-page copy of your CV and provide a 1250 word ?personal statement? evidencing how you meet the essential and desirable skills and capabilities listed in the role profile. Please ensure you demonstrate clearly, within your supporting statement, how you meet each of the criteria listed in the role profile. In the event of receiving a large number of applications, an initial sift may take place on just the lead criteria indicated in the essential criteria.
The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by [https://www.cifas.org.uk/fpn].
At Ofgem, we expect our staff to carry out their roles with honesty, fairness and openness. They should follow the Civil Service code and be free from any influence or bias. We are committed to making sure interests are recognised, declared and managed appropriately so that we can fulfil our duties as an energy regulator. Our Conflicts of Interest policy outlines the types of interests Ofgem staff must declare before onboarding, and the rules they must follow throughout employment so that we can clearly demonstrate that our decisions are not influenced by private interests.
This job is broadly open to the following groups: