At a Glance
- Tasks: Lead and grow commercial data platforms, turning client challenges into impactful solutions.
- Company: Dynamic data and technology consultancy with a focus on innovation.
- Benefits: Competitive salary, performance bonus, private health, and generous holiday allowance.
- Other info: Hybrid working model with opportunities for professional growth and development.
- Why this job: Step into a leadership role and make a real difference in data-driven projects.
- Qualifications: Senior client-facing experience in consultancy with strong technical credibility.
The predicted salary is between 120000 - 130000 £ per year.
London (hybrid) | £120,000 to £130,000 + bonus + benefits
We’re working with a data and technology consultancy on a senior hire to lead and grow their commercial data platforms practice. This is a client-facing leadership role. You’ll be the person clients trust to turn their data and customer challenges into platforms that deliver real results, from the first conversation and POC through to delivery. It’s a great opportunity for an experienced Principal, Managing Consultant or Head of Data who is ready to step up into a Director role.
What you’ll be doing:
- Owning the commercial data platform proposition, built on Snowflake, Databricks and modern cloud
- Leading presales on strategic opportunities: shaping solutions, writing proposals and pitching to senior stakeholders
- Running client discovery and fast POCs that prove value and lead to full builds
- Designing data platforms that power analytics, AI, customer intelligence and marketing activation
- Advising clients on data governance and operating models so platforms get adopted and scale
- Building relationships with Snowflake, Databricks and cloud partners to create joint pipeline
- Building and leading a multidisciplinary team of engineers, architects and delivery leads
What you’ll bring:
- Experience in a consultancy, systems integrator or technology services business, in a senior client-facing role
- A strong presales record: shaping deals, writing proposals and presenting to executives
- Strong technical credibility across modern cloud data platforms, ideally Snowflake and Databricks
- Experience delivering platforms for customer data, personalisation or marketing activation (CDP, Braze, Salesforce Marketing Cloud or similar is a big plus)
- Experience leading teams of engineers and architects
- The confidence to advise CDOs, CIOs, CTOs and marketing leaders
What’s on offer:
- £100,000 to £130,000 base plus performance bonus
- Pension up to 5% matched
- Private health, life insurance and a health and wellbeing plan
- 25 days holiday and a working abroad policy
- Hybrid working: around three days a week on client site or in the London office
Head of Data & AI Consulting in London employer: Breakthrough Talent
Join a dynamic and innovative data business in London, where you'll thrive in a hybrid work environment that promotes collaboration and flexibility. With a strong focus on employee growth, the company offers extensive training opportunities in cutting-edge technologies like AI and Data Science, ensuring you stay at the forefront of the industry. Enjoy a vibrant work culture that values creativity and teamwork while delivering impactful analytical solutions for prestigious clients both in the UK and internationally.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & AI Consulting in London
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We think you need these skills to ace Head of Data & AI Consulting 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 Breakthrough Talent, 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 Breakthrough Talent. 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 Breakthrough Talent
✨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 Breakthrough Talent!
✨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.
