At a Glance
- Tasks: Lead AI delivery, manage workflows, and ensure project success in a fast-paced environment.
- Company: Global leader in information and data services with a focus on AI innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to shape AI solutions.
- Other info: Dynamic role with opportunities for growth and collaboration with top AI professionals.
- Why this job: Join a cutting-edge team and drive impactful AI projects that transform industries.
- Qualifications: Experience in AI product delivery and strong understanding of engineering processes required.
The predicted salary is between 70000 - 90000 £ per year.
£600 - £650 per day Inside IR35. 6 Month Initial Contract. London - Hybrid.
Company and role for AI Delivery Lead: Our client is a globally established information and data services business with dedicated AI engineering teams already delivering in production. Their Commercial AI function spans AI product development, agentic deployments and internal transformation programmes - and they’re looking for an AI Delivery Lead, with strong Product & Workflow experience, to be the operational backbone of that team. This is not a traditional programme management role and it’s important to be upfront about that. Our client has seen plenty of delivery professionals who bring strong process discipline, but lack the depth to operate credibly in a fast-moving AI engineering environment. What they need is someone who has genuinely delivered AI solutions - who understands how these systems are built, what makes them complex, and what good delivery looks like in that context. Programme rigour matters here, but it’s table stakes, not the differentiator.
The role: Reporting directly to the Chief AI Officer, you’ll own the delivery health of the AI team’s entire portfolio - spanning AI product development, agentic deployments and workflow transformation programmes. You’ll provide the planning cadence, dependency management, risk tracking and stakeholder reporting that keeps a high-performing AI engineering and product team executing with precision and visibility at all levels.
- Own the delivery planning process across the portfolio — sprint planning, roadmap tracking, milestone management and dependency mapping across engineering, product and transformation workstreams.
- Maintain a clear, real-time view of delivery health across all active workstreams — surfacing blockers, risks and schedule variances before they become critical.
- Drive delivery governance - establishing and maintaining the rituals, tooling and reporting cadences that give the team and its stakeholders shared visibility of progress.
- Translate technical delivery status into coherent progress narratives for the Chief AI Officer and executive stakeholders - enabling commercial and operational decisions.
- Work closely with the Director of AI Engineering and Principal AI Lead to align delivery sequencing with engineering capacity and commercial priorities.
- Identify and resolve delivery challenges - escalating where needed and facilitating resolutions that keep workstreams moving without imposing unnecessary process overhead.
Experience required for AI Transformation Lead (strong AI Product & Workflows exp):
- Proven experience delivering AI, ML or data led product programmes/initiatives - with enough technical grounding to interrogate delivery status credibly and understand what engineers are actually building.
- A background that goes beyond pure programme management - experience touching adjacent areas such as AI product development, software engineering delivery or agentic system deployment is a strong signal.
- Strong command of Agile, Scrum, Kanban or hybrid methodologies - applied pragmatically to context, not followed dogmatically.
- Senior and executive stakeholder management experience - comfortable translating complex technical progress into clear commercial narratives for C-suite audiences.
- Experience with delivery tooling such as Jira, Linear, Notion or equivalent, alongside programme-level planning and investment tracking.
- High clarity under ambiguity - you bring structure to evolving Workstreams without waiting for perfect information, and you surface bad news early with proposed resolutions attached.
AI Transformation Lead (strong AI Product & Workflows exp) in London employer: Intec Select
Our client is a leading global information and data services business, renowned for its innovative approach to AI transformation. With a strong emphasis on employee growth and a collaborative work culture, they offer unique opportunities for professionals to thrive in a dynamic environment that values technical expertise and agile methodologies. Located in London, this hybrid role not only provides competitive compensation but also the chance to be at the forefront of AI product development and workflow transformation, making it an excellent employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Transformation Lead (strong AI Product & Workflows exp) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Intec Select before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Intec Select.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Intec Select.
We think you need these skills to ace AI Transformation Lead (strong AI Product & Workflows exp) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Intec Select, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Intec Select, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Intec Select’s attention and show the tangible impact of your work.
How to prepare for a job interview at Intec Select
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Intec Select.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Intec Select.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Intec Select.
