At a Glance
- Tasks: Lead a data transformation and build a new data function from scratch.
- Company: Established organisation embarking on a major data transformation journey.
- Benefits: Up to £100,000 salary, 10% pension, generous leave, and flexible hybrid working.
- Other info: Flexible office attendance with excellent career growth opportunities.
- Why this job: Make a real impact by establishing data as a strategic asset for the business.
- Qualifications: Proven experience in data transformation and building data functions.
The predicted salary is between 90000 - 100000 £ per year.
Salary: Up to £100,000
Location: London with highly flexible hybrid working
Benefits: 10% non-contributory pension, generous annual leave and strong benefits
Contract: Permanent
We’re partnering with an established organisation at the beginning of a major data transformation. Its data environment is currently fragmented, with multiple sources, inconsistent definitions and limited internal ownership. As Head of Data, you’ll build an internal data capability from the ground up and establish data as a strategic business asset.
The role
- Build and lead a new data function, expected to grow to around five people.
- Establish the foundations of Microsoft Fabric and a medallion architecture.
- Consolidate disparate sources and improve data quality, governance and ownership.
- Develop reporting and self-service analytics that support better business decisions.
- Improve data literacy through workshops, training and stakeholder engagement.
- Work with the Data Architect and wider transformation programme to establish the foundations for future AI initiatives.
What we’re looking for:
We need an experienced data leader who has previously transformed a complex, low-maturity data environment. You should bring:
- Experience building or significantly developing a data function.
- A strong record of delivering data transformation and measurable outcomes.
- Microsoft Fabric experience and knowledge of medallion architecture.
- Strong experience across data quality, governance, ownership and consolidation.
- An understanding of data protection and DPO responsibilities.
- Credible experience with data-led AI initiatives or AI agents.
- Excellent stakeholder management and communication skills.
You’ll need to challenge existing ways of working collaboratively, influence without dictating and translate complex data topics into clear business value. There is no fixed weekly office requirement, although you’ll be expected to attend when valuable, particularly during the first six months and for monthly team days.
If this position sounds like the right challenge for you, DM me or APPLY NOW.
Head of Data employer: TRIA
TRIA is an excellent employer that fosters a dynamic and inclusive work culture in the heart of Bristol. With a strong focus on employee growth, we offer comprehensive training opportunities and a supportive environment that encourages innovation and collaboration. Our competitive salary package, performance bonuses, and generous holiday allowance make TRIA a rewarding place to advance your career in the insurance software industry.
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 TRIA!
✨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 TRIA.
✨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 TRIA.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data at TRIA, 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!
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 TRIA, 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 TRIA. 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 TRIA
✨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 TRIA!
✨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.
