At a Glance
- Tasks: Lead AI projects, manage teams, and deliver innovative solutions for clients in the insurance sector.
- Company: Dynamic company at the forefront of AI technology, focused on client success.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Exciting environment with a focus on ethical AI and continuous learning.
- Why this job: Join a team shaping the future of AI in insurance and make a real impact.
- Qualifications: Experience in AI solutions, strong project management, and leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
As an AI Delivery Lead, you will be responsible for delivering innovative solutions that drive value for our clients. You will play a critical role in delivering AI-enabled solutions for our clients.
Responsibilities
- Collaborate with clients to understand their business needs and develop AI-enabled solutions that align with their goals and objectives.
- Lead and manage a team of AI professionals, including data scientists, engineers, developers, and business analysts to ensure successful project delivery.
- Manage the entire project lifecycle, from inception to completion, including timelines, budgets, and scope.
- Stay up to date with the latest advancements in AI technology and identify opportunities to incorporate new tools and techniques into client solutions.
- Communicate project progress, risks, and issues to clients and stakeholders, and provide recommendations for addressing any challenges that arise.
- Oversee the implementation of data privacy and security guardrails throughout project lifecycles—including the implementation of ethical AI guardrails.
Essential Skills
- Experience in a specific industry or domain, such as insurance, finance or banking (or equivalent).
- Strong project management skills, including the ability to manage timelines, budgets, and scope.
- Experience in developing and delivering AI-enabled, production grade solutions at scale.
- Deep understanding of AI technologies, including Generative AI.
- Strong leadership skills, including the ability to enable a diverse technical and non‑technical team.
- Knowledge of agile methodologies and experience working in an agile environment.
Desirable Skills
- Knowledge of emerging AI technologies and their potential applications.
- The ability to tell a compelling story by structuring thoughts in a way that is engaging and easy to follow.
- Experience in developing and delivering AI solutions using cloud‑based platforms.
- Experience in agile project management methodologies, such as Scrum or Kanban.
- Experience in data visualization and storytelling, with the ability to communicate complex data insights to non‑technical stakeholders.
- Proficiency in programming languages such as Python, Java, C#.
You will be based in London or Manchester with hybrid working.
AI Delivery Lead – Insurance Solutions (Hybrid: London/Manchester) employer: Hm Revenue & Customs (Hmrc)
As an AI Delivery Lead at our company, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. With hybrid working options in vibrant cities like London and Manchester, we offer competitive benefits, continuous professional development opportunities, and a commitment to ethical AI practices, ensuring you can make a meaningful impact while advancing your career in a supportive environment.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Lead – Insurance Solutions (Hybrid: London/Manchester)
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and AI sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving AI solutions. Use platforms like GitHub to share your code or case studies that demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your project management skills and AI knowledge. Be ready to discuss how you’ve led teams and delivered successful projects. Practice common interview questions and think of examples that showcase your leadership and technical expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace AI Delivery Lead – Insurance Solutions (Hybrid: London/Manchester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Delivery Lead. Highlight your experience in delivering AI solutions, managing teams, and any relevant industry knowledge, especially in insurance or finance.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led projects, managed budgets, and delivered innovative solutions that align with client goals.
Showcase Your Leadership Skills:We want to see how you’ve successfully led diverse teams. Include examples of how you've enabled both technical and non-technical team members to achieve project success and overcome challenges.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI technology, especially those relevant to the insurance sector. Be ready to discuss how you've applied these technologies in past projects and how they can drive value for clients.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading diverse teams. Think about specific challenges you've faced and how you motivated your team to deliver successful AI solutions. This will demonstrate your ability to manage both technical and non-technical members effectively.
✨Master Project Management
Be ready to talk about your project management experience, particularly in managing timelines, budgets, and scope. Use the STAR method (Situation, Task, Action, Result) to structure your answers and show how you’ve successfully delivered projects from inception to completion.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You might be asked to present your ideas to non-technical stakeholders, so being able to tell a compelling story with your insights is crucial. Think about how you can make your points engaging and easy to follow.
