At a Glance
- Tasks: Lead data strategy and guide teams to leverage data for impactful decisions.
- Company: Join Which?, a trusted consumer organisation transforming into a data-led business.
- Benefits: Enjoy a competitive salary, hybrid working, 28 days holiday, and a fantastic pension scheme.
- Other info: Opportunity for career growth in a dynamic, data-driven environment.
- Why this job: Shape the future of data and influence strategy at the highest level.
- Qualifications: Proven leadership in data functions and strong technical expertise in cloud platforms.
The predicted salary is between 120000 - 140000 £ per year.
This role offers a competitive salary, hybrid working (London/Hybrid ⅔ days per week in office with Thursday being mandatory), 28 days holiday a year plus Bank Holidays and a fantastic pension scheme offering 6% in year one and 11% after this. Salary £120,000 - £140,000 base per annum.
About The Role
Are you ready to shape how data supports better choices for millions of consumers? Which? is looking for a Head of Data to guide our data strategy and help us use information to create real value. You'll work across the organisation to make sure data is trusted, easy to access, and supports our goals. Do you enjoy bringing people together to solve complex problems? You'll work with technology, product, marketing and content teams amongst others to help transform the way that Which? helps millions of people get the answer they can trust, every time. Sitting on our Extended Leadership Team, you'll provide senior leadership across data strategy, management, governance, architecture and reporting. This is your chance to build capability across Which? and create lasting impact.
What does success look like? Clear standards, better decisions, and teams who feel confident using data every day. This is a rare opportunity to shape the future of data within the organisation, influencing strategy at the highest level while building the foundations for an increasingly data-driven and AI-enabled future.
Key Responsibilities Include:
- Define and execute the enterprise commercial data strategy, roadmap, operating model, and investment priorities as the organisation transforms into a data-led business.
- Partner with technology, product, and business leaders to align data capabilities with strategic goals and contribute to the overarching AI strategy and governance framework.
- Establish enterprise data ownership, quality standards, privacy/GDPR compliance, ethics, and security in collaboration with legal, compliance, and infosec teams.
- Lead multidisciplinary data functions, including: Data Science, Analytics, Data Engineering, and Data Products, to deliver high-impact models, analytics, and customer experiences.
- Oversee data platform architecture and engineering standards (cloud platforms, pipelines, lakehouses, metadata, and analytics environments) for scalability, security, and performance.
- Drive enterprise-wide data literacy, self-serve analytics adoption, and frameworks to measure ROI and business outcome value across investments.
- Provide executive leadership, manage budgets and key vendor relationships, and build high-performing, cross-functional data teams.
About You
We are looking for an experienced, visionary Head of Data to lead our commercial enterprise data strategy, governance, platforms, and multidisciplinary data capabilities as Which? transforms into a data-led business.
To Succeed In This Role, You Will Bring:
- Proven leadership experience driving multidisciplinary data functions (Data Engineering, Data Science, Analytics, and Governance) and shaping enterprise-wide data strategies and operating models.
- Strong technical expertise across modern cloud data platforms (such as Snowflake, Databricks, or BigQuery on AWS), data engineering workflows, and cloud-native AI capabilities.
- Deep knowledge of enterprise data governance, GDPR compliance, data quality frameworks, and responsible AI principles.
- Exceptional senior stakeholder management and communication skills, with the ability to translate complex data and AI concepts for executive and non-technical audiences.
- A degree or equivalent experience in a quantitative, technology, or business discipline (a postgraduate qualification or experience in consumer/digital media environments is desirable).
The interview process:
- Stage 1: Virtual Meeting with Extended Leadership team colleagues
- Stage 2: In person meeting at our London Office with CPTO
Head of Data employer: Which?
At Which?, we pride ourselves on being an exceptional employer that champions consumer rights while fostering a supportive and inclusive work culture. Our London-based team enjoys a hybrid working model, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for passionate advocates of consumer law and policy to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Which?!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data at Which?.
✨Leverage Professional Networks
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 Which?.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data at Which?, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Data
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 Which?, 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 Which?. 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 Which?
✨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 Which?!
✨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.
