At a Glance
- Tasks: Lead AI projects, manage teams, and deliver innovative solutions for clients.
- Company: Dynamic tech firm focused on AI and transformation in various industries.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a collaborative environment with a focus on ethical AI practices.
- Why this job: Join a cutting-edge team and shape the future of AI solutions.
- Qualifications: Experience in AI, project management, and strong leadership skills.
The predicted salary is between 80000 - 100000 £ 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#.
Location and Working
You will be based in London or Manchester with hybrid working.
Senior Manager, Insurance, AI Delivery Lead, Engineering AI & Data, Technology and Transformation employer: Hm Revenue & Customs (Hmrc)
As a leading employer in the technology and transformation sector, we offer an inspiring work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages diverse perspectives. With a hybrid working model based in vibrant cities like London and Manchester, we provide our team with the flexibility to thrive both professionally and personally while delivering cutting-edge AI solutions.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Insurance, AI Delivery Lead, Engineering AI & Data, Technology and Transformation
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI or insurance. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies of your past projects, especially those involving AI solutions. This will help you stand out and demonstrate your expertise to potential employers.
✨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 in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge in the hiring process.
We think you need these skills to ace Senior Manager, Insurance, AI Delivery Lead, Engineering AI & Data, Technology and Transformation
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 managing AI projects and leading teams, especially in industries like insurance or finance. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story! Share why you're passionate about AI and how you can drive value for our clients. Be sure to mention any relevant projects you've led and how they relate to the role.
Showcase Your Leadership Skills:As a Senior Manager, we’re keen to see your leadership style. Include examples of how you've successfully managed diverse teams and delivered projects on time and within budget. We love a good success story!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 Generative AI. Be ready to discuss how these technologies can be applied in real-world scenarios, particularly in the insurance sector.
✨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 projects.
✨Master Project Management
Be ready to talk about your project management experience. Have a few stories handy that demonstrate your ability to manage timelines, budgets, and scope effectively, especially in an agile environment.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You might need to communicate with non-technical stakeholders, so being able to tell a compelling story with data insights is key.
