Head of Data Platform & Strategy β€” Build from Day One in London

Head of Data Platform & Strategy β€” Build from Day One in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the creation of a data platform and implement a multi-year strategy.
  • Company: Join TRAKD, a forward-thinking company focused on data innovation.
  • Benefits: Competitive salary, leadership opportunities, and a chance to shape the future.
  • Other info: Dynamic role with opportunities for growth as the company expands.
  • Why this job: Make a significant impact by building a data architecture from scratch.
  • Qualifications: Proven experience in data strategy and team leadership.

The predicted salary is between 80000 - 100000 Β£ per year.

TRAKD is seeking a Lead/Head of Data to build a data platform from the ground up while delivering a multi-year strategy. You will present to the board, establish a governance framework, and implement data products, catalogs, and lineage across the organisation.

The role combines senior leadership with hands-on delivery, enabling you to shape the data architecture, manage ETL/ELT pipelines, and scale the team as acquisitions are integrated.

Head of Data Platform & Strategy β€” Build from Day One in London employer: TRAKD

As a Senior Product Engineer at our innovative health tech startup, you'll be part of a dynamic team that values ownership and accountability, allowing you to make a real impact on the future of primary care. With a strong focus on employee well-being, we offer generous benefits such as extra paid volunteer days, a health and fitness budget, and opportunities for professional growth through a dedicated learning budget. Our collaborative work culture, combined with unique perks like homemade meals and equity for all, makes this an exceptional place to thrive and contribute meaningfully.

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Contact Details:

TRAKD Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Head of Data Platform & Strategy β€” Build from Day One in London

✨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 TRAKD!

✨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 Platform & Strategy β€” Build from Day One at TRAKD.

✨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 TRAKD.

✨Apply Directly through Our Website

When you find a suitable opening like Head of Data Platform & Strategy β€” Build from Day One at TRAKD, 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 Platform & Strategy β€” Build from Day One in London

Communication Skills
Problem-Solving Skills
SQL
Data Pipeline Development
API Integration
Data Engineering
Python

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 TRAKD, 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 TRAKD. 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 TRAKD

✨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 TRAKD!

✨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.