At a Glance
- Tasks: Lead AI governance to ensure ethical and responsible AI use across the organisation.
- Company: Join the RNLI, a dedicated team saving lives at sea for over 200 years.
- Benefits: Enjoy flexible working, competitive salary, 26 days' leave, and a great pension scheme.
- Other info: Diverse and inclusive workplace committed to saving lives and supporting wellbeing.
- Why this job: Make a real impact by shaping AI policies that protect lives and uphold values.
- Qualifications: Experience in AI governance, policy development, and risk management is essential.
The predicted salary is between 42479 - 49976 £ per year.
AI Governance Lead Salary : £42,479 - £49,976 (dependent on experience) Contract type : Permanent Hours : Full-Time Location : Poole, Dorset, England Location description : Hybrid between home and Poole Closing Date : 11-10-2026 Reference : 22039 About us Our purpose is simple, to save lives at sea.
Our teams need a dedicated, professional, and talented team behind them, and that's where you come in.
We're looking for an AI Governance Lead to join our Data Governance and Management team.
This exciting new role will ensure that Artificial Intelligence is adopted safely, ethically, responsibly and effectively across the organisation, enabling our people to realise the benefits of AI while protecting the organisation, its data, reputation and values.
Some of the benefits - Salary: £42,479 - £49,976 (dependent on experience) - Flexible working - 26 days' annual leave plus Bank Holidays - Competitive pension scheme - Life assurance - Health and dental cashplan option About the role As our new AI Governance Lead, you will be responsible for developing, maintaining and continually improving the organisation's AI governance framework.
We are looking for someone who can provide practical leadership for AI policy, standards, controls, assurance, risk management and responsible adoption practices.
You will ensure AI technologies are used in a way that aligns with organisational strategy, legal and regulatory obligations, information governance requirements and ethical principles.
As part of the Data Governance team within Information protecting a person's health, wellbeing, and human rights, enabling them to live free from harm, abuse, and neglect.
We expect all employees and volunteers to share this commitment and have a zero-tolerance approach.
The suitability of all prospective employees and volunteers will be assessed during the recruitment process in line with this commitment.
This will include reference checks at offer stage and relevant criminal record checks being carried out dependent on the eligibility of the role. (England DBS check, Scotland; Disclosure Scotland PVG, Northern Ireland; Access NI, Republic of Ireland; Garda Vetting; International, International Child Protection Certificate process).
Diversity at the RNLI Our staff and volunteers have been saving lives at sea without prejudice for 200 years.
We respect and value diversity of background, skills and perspectives within our teams, and consider it essential to help us deliver a world-class lifesaving service.
We are an inclusive organisation and welcome applications from everyone.
In addition to having the skills needed for the role, we also look for applicants who share our commitment to living our RNLI values (trustworthy, courageous, selfless, and dependable) and helping us work towards
Our
Vision: To save Every One.
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AI Governance Lead employer: RNLI
RNLI is an exceptional employer that values its team members and fosters a supportive work culture, offering flexible working arrangements from home while allowing for meaningful travel across Scotland. Employees benefit from comprehensive training and development opportunities, ensuring personal and professional growth, all while contributing to a vital cause that saves lives at sea. Join us to be part of a passionate team dedicated to making a difference in the community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Governance Lead
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When you find a suitable opening like AI Governance Lead at RNLI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Governance Lead
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 RNLI, 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 RNLI. 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 RNLI
✨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!
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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 RNLI!
✨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.