At a Glance
- Tasks: Lead data initiatives, build a team, and ensure reliable metrics for AI tools.
- Company: Fast-growing company at the forefront of AI-driven qualitative research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Shape the future of data in the AI era and make a real impact.
- Qualifications: Experience in data leadership at startups or scale-ups, strong analytical skills.
The predicted salary is between 75600 - 92400 £ per year.
The first data leader at a fast growing company, owning the warehouse, transformation layers and BI tooling while also doing hands on analysis.
A strong candidate has led data or analytics at a startup or scale up, can question engineers on technical choices, and can sit with department leads to find the real question behind a request.
Building a small team and setting metric definitions that everyone trusts are central to the job.
How it fits the AI era
AI tools make it easy to produce dashboards and reports quickly, so the harder work is deciding what is worth looking at and keeping the numbers reliable.
This role shapes data so AI tools can use it well and guards against a flood of low quality output.
Judgement about what the business needs and trust in the numbers stay human.
How it builds AI experience
The company runs conversational AI agents for video and voice interviews, so the data work sits close to AI products.
The role offers practice in preparing data that AI tools can rely on and in getting real value from AI for analysis.
Everyday use of AI and a view on building dependable data for it are stated as expectations.
- Worth showing
- Led data at scale up
- Hands on BI and analytics
- Warehouse to BI understanding
- Metric definitions ownership
- Stakeholder and hiring skills
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Conveo
Automated qualitative research platform using conversational AI agents to conduct video and voice user interviews at scale, per the company.
Head of Data (London) employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
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We think this is how you could land Head of Data (London)
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We think you need these skills to ace Head of Data (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!
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✨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 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.
