At a Glance
- Tasks: Lead and grow commercial data platforms, shaping bids and managing a large team.
- Company: Global data and technology consultancy with a strong client base.
- Benefits: Up to £130,000 salary, performance bonus, private health insurance, and 25 days holiday.
- Other info: Hybrid working model with opportunities for international work.
- Why this job: Make a significant impact in the data and AI space while leading innovative projects.
- Qualifications: Senior leadership experience in data platforms and strong presales skills required.
The predicted salary is between 130000 - 130000 £ per year.
London (hybrid) | Up to £130,000 + bonus + benefits
We’re working with a global data and technology consultancy on a senior hire. They work with more than 1,000 commercial and public sector clients, and they want a leader to grow their commercial data platforms practice. You’ll own the data platform offering for commercial clients. That covers shaping bids, running POCs, building partner relationships and leading a large team from presales through delivery. You need deep technical credibility and you also need to be comfortable selling.
What you’ll be doing:
- Owning the commercial data platform proposition across Snowflake, Databricks and modern cloud technologies
- Leading client discovery, assessments and fast POCs that prove value and lead to full builds
- Shaping target architectures, governance frameworks, operating models, roadmaps and commercials
- Advising clients on data governance, ownership and operating models so platforms get adopted and scale
- Building reusable accelerators for ingestion, data quality, modelling and orchestration
- Building senior relationships with Snowflake, Databricks and cloud partners to create joint propositions and co-sell pipeline
- Leading presales on strategic opportunities, from qualification and solution shaping to proposals and executive pitches
- Building and leading a team of engineers, architects and delivery leads, and owning hiring, capability and utilisation
What you’ll bring:
- Senior leadership of data platform and engineering services in a consultancy, systems integrator or technology services business
- A track record of building and leading large teams of engineers, architects and delivery leads
- Deep hands‑on understanding of modern cloud data platforms, ideally Snowflake and Databricks (AWS experience is a plus)
- Experience taking clients from discovery and POC through architecture, build, adoption and optimisation
- Strong knowledge of ingestion, orchestration, batch and streaming, data modelling, quality, governance, security and observability, including what’s needed for AI at scale
- Experience designing data governance and operating models
- Delivery of platforms for analytics, data science, customer intelligence and marketing activation
- Strong presales experience: shaping complex deals, writing proposals and presenting to executives
- A record of winning work through partner relationships, POCs and reusable accelerators
- The credibility to advise CDOs, CIOs and CTOs
What’s on offer:
- Up to £130,000 base plus performance bonus
- Pension up to 5% matched
- Private health insurance, life insurance and a health and wellbeing plan
- 25 days holiday
- Working abroad policy
- Hybrid working: around three days a week on client site or in the London office
Head of Data & AI 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
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Breakthrough Talent.
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We think you need these skills to ace Head of Data & AI
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.
