At a Glance
- Tasks: Lead data projects while staying hands-on with coding and client interactions.
- Company: A dynamic AI consultancy in London with a flat structure.
- Benefits: Competitive salary, performance bonuses, flexible hybrid work, and growth opportunities.
- Other info: Join a close-knit team with plenty of variety and career advancement potential.
- Why this job: Make a real impact by leading and building innovative data solutions.
- Qualifications: Experience in consultancy, data governance, Azure, Databricks, SQL, and Python.
The predicted salary is between 70000 - 100000 £ per year.
Head of Data & AI | Azure, Databricks, Microsoft Fabric | Hands-On Seat in a Scaling AI Consultancy
- Salary: £70,000 to £100,000, depending on experience, plus a company-performance bonus
- Location: London, hybrid (around 2-3 days in the office, plus client visits)
- Essential: a consultancy or professional services background
This is a senior data role where you stay on the tools.
You'll lead, but you'll also sit down and write the ETLs, model the data and build the pipelines yourself.
My client is a London data and AI consultancy, small and flat, working across retail, ecommerce, insurance, education, media and hospitality.
They already have someone in this seat and it's working well.
Now they want a second, because the client base keeps growing and one person can't cover it all.
You'll report straight to the leadership team, with no layers in between.
The work is hands-on and client-facing in equal measure.
One day you're designing a lakehouse model in Azure or Databricks, the next you're in front of a client working out what they actually need from their data.
You'll have data engineers and software developers alongside you on projects, and as the business grows there's a team here for you to lead.
It's a close group, no hierarchy, everyone in the same room solving things together.
You'll be in the London office three days a week, two from home, with the odd client visit on top.
This one suits someone who wants to commute in and be part of it, not work fully remote.
What They're Looking For
- Consultancy or professional services background, juggling several clients at once
- Data governance (definitions, lineage, quality, ownership, access control)
- Data modelling, with a track record of building a single source of truth across messy, multi-source data
- Azure, Databricks and Microsoft Fabric (working in them, not just advising)
- SQL and Python
- Comfortable staying billable and hands-on at a senior level
What You'll Work With
- Azure Data Factory and Azure Synapse Analytics
- Microsoft Purview (or a comparable cataloguing and lineage tool)
- Dimensional modelling, Data Vault, warehouse and lakehouse architecture
- ETL and data pipeline design and build
- Co Pilot, Claude and Open AI in day-to-day delivery
Nice to Haves
- Agentic architecture, putting LLMs to work on real data problems
- Experience across data-sensitive sectors such as insurance or finance
- A track record leading small delivery teams
Why Join?
Two things make this stand out.
First, you're trusted with the whole thing.
Give them a project, a deadline and a budget, and they leave you to deliver it.
Second, you lead and you build in the same week.
You'll set the frameworks and standards from scratch, then go and apply them yourself across live client work.
Plenty of variety too: financial rules for one client, stock and inventory for another, a different industry and a different data problem every few weeks.
And because the team is small and scaling, the person who does this well grows with it, into leading the data function as the company expands.
Employee Benefits
- Company-performance bonus, tied to the billable success of the business
- Client travel expensed
- Flexible hybrid, two days from home
- A flat structure with a direct line to the leadership team
- Room to grow into leading the data function as the company scales
If you've got the consultancy background and you're happy staying close to the code, apply and I'll give you a call to talk it through.
Head of Data & AI | Azure, Databricks, Microsoft Fabric | Hands-On Seat in a Scaling AI Consultancy
Head of Data & AI in London employer: Prism Digital
Prism Digital is an exceptional employer that values innovation and collaboration, offering a dynamic remote work environment where you can thrive as a WordPress Developer. With a strong focus on employee growth, we provide opportunities for skill enhancement and career advancement while working on a high-traffic platform that reaches millions. Join us to be part of a supportive team that encourages creativity and values your contributions to our success.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & AI in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of Data & AI 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Prism Digital, 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 Prism Digital. 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 Prism Digital
✨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 Prism Digital!
✨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.
