At a Glance
- Tasks: Lead AI and automation initiatives to drive innovation and measurable impact.
- Company: Join a forward-thinking organisation transforming services through technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on continuous improvement and innovation.
- Why this job: Shape the future of AI and automation while making a real difference.
- Qualifications: Experience in strategic data and AI project delivery with strong stakeholder engagement skills.
The predicted salary is between 86500 - 86500 £ per year.
Head of AI and Automation Accelerator– up to £86,500 + benefits & highly-flexible working (London, Glasgow or Cardiff)
Across government, the opportunity to harness AI and automation is no longer a future ambition; it is a practical necessity for improving services, increasing productivity and enabling better outcomes for citizens and colleagues.
The Digital, Data and Security Services (DDSS) function is playing a central role in that transformation, creating the foundations, capability and delivery momentum needed to accelerate modern, data-led ways of working.
This is an exciting opportunity to join the organisation at a pivotal moment and help shape how AI and automation are scaled, governed and embedded across the business.
You will play a leading role in driving innovation, identifying high-value use cases and enabling sustainable adoption that delivers measurable impact.
The Head of AI and Automation Accelerator is a strategic leadership role at the heart of DDSS, working across business, technology and data stakeholders to define and deliver the organisation’s AI and automation ambitions.
Reporting into senior digital leadership, you will provide strategic direction for the accelerator function and help build the governance, methods and delivery capability needed to take ideas from concept through to scaled implementation.
Working closely with senior colleagues across technology, data, information security and operational teams, you will ensure AI and automation opportunities are prioritised appropriately, delivered safely and aligned to organisational goals.
You will also help create the culture, confidence and practical frameworks needed to increase adoption across the organisation.
Overview of the role
As Head of AI and Automation Accelerator, you will define and lead the organisation’s approach to identifying, shaping and accelerating AI and automation opportunities.
You will develop the roadmap, establish prioritisation and governance mechanisms, and ensure delivery is focused on use cases that create genuine value and can be scaled effectively.
You will act as a trusted advisor to senior stakeholders, balancing innovation with responsible delivery and ensuring that AI and automation activity is underpinned by clear guardrails, robust assurance and strong stakeholder engagement.
This is an exceptional opportunity to influence transformation at pace and help embed a more modern, efficient and data-enabled way of working.
You will be responsible for
- Leading the AI and Automation Accelerator function and setting its vision, priorities and operating model.
- Identifying, assessing and prioritising high-value AI and automation opportunities across the organisation.
- Developing and maintaining delivery roadmaps, business cases and governance arrangements.
- Working with technical, operational and policy colleagues to move opportunities from discovery through to implementation and scale.
- Ensuring AI and automation activity is aligned to organisational strategy, ethical principles, data governance and relevant assurance requirements.
- Building strong relationships with senior stakeholders and acting as a trusted advisor on AI and automation adoption.
- Championing a culture of innovation, capability-building and continuous improvement.
- Monitoring outcomes, benefits and lessons learned to support ongoing refinement and scaling.
- What we are looking for
- Proven experience of delivering a strategic programme of data and AI projects
- Extensive experience of delivering in an agile, iterative manner that delivers value early.
- Demonstrable ability to mediate difficult discussions, manage high-risk expectations, and translate complex technical concepts for non-technical executive audiences
- Expert knowledge of the product / service lifecycle, specifically its application to data and AI products
- Expert knowledge of innovative data and AI technologies
- Knowledge of energy sector data and AI challenges, the transition to net-zero, including regulatory and affordability implications.
This is an opportunity to play a significant role in shaping how AI and automation are adopted and scaled, helping to create lasting impact across the organisation.
The role will suit someone who combines strategic thinking with delivery focus, and who is motivated by building practical solutions that make a real difference.
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Head of AI and Automation Accelerator in London employer: Ofgem
Ofgem is an exceptional employer that prioritises innovation and collaboration, making it an ideal place for a Chief Technology Officer to thrive. With a strong commitment to employee development and a culture that embraces change, you will have the opportunity to lead transformative projects while working in a supportive environment that values your contributions. Located at the heart of the energy sector, Ofgem offers unique insights and the chance to make a meaningful impact on the digital landscape of the industry.
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We think you need these skills to ace Head of AI and Automation Accelerator in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Ofgem, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ofgem. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ofgem
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ofgem!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
