At a Glance
- Tasks: Lead the data strategy and build a modern cloud-based data platform.
- Company: Join a tech-driven financial services company focused on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Drive meaningful transformation and influence company growth.
- Why this job: Shape the future of data in a collaborative, technology-first environment.
- Qualifications: Proven experience in data strategy and leading engineering teams.
The predicted salary is between 80000 - 100000 £ per year.
Location: UK Remote
Start date: ASAP
Languages: Fluent English required
Industry: FinTech / Financial Services / Data & Analytics
About the Role
Pragmatike is recruiting on behalf of a technology-driven financial services company that leverages data, AI, and modern engineering practices to deliver responsible digital financial products. As the organization continues to scale, data is becoming a core strategic capability, supporting everything from operational decision-making to customer experience and regulatory compliance.
We are seeking an experienced Head of Data to define and execute the company's enterprise-wide data strategy while building a modern, scalable data platform. This is a senior leadership role for someone who combines strategic vision with strong technical expertise and enjoys building high-performing teams, establishing governance, and driving data maturity across the business.
You will own the evolution of the data platform, lead the data engineering function, and partner closely with executive stakeholders to ensure data becomes a trusted foundation for analytics, operational excellence, AI initiatives, and business growth.
Your Responsibilities
- Define and execute the organization's long-term data strategy aligned with business objectives
- Own the architecture and evolution of the enterprise data platform, covering ingestion, transformation, storage, and data access
- Build, lead, and develop a high-performing data engineering team while establishing engineering standards and delivery best practices
- Design and implement scalable data governance frameworks covering ownership, quality, lineage, metadata, and stewardship
- Ensure the platform remains secure, reliable, scalable, and cost-efficient while supporting both operational and analytical workloads
- Drive adoption of self-service analytics by enabling business teams to confidently access and leverage trusted data
- Partner with senior leadership to identify strategic data initiatives and translate business priorities into technical roadmaps
- Establish delivery processes, prioritization frameworks, and operating models that balance immediate business needs with long-term platform sustainability
- Evaluate and implement appropriate tooling, cloud technologies, and vendor solutions where required
- Champion a data-driven culture by improving data literacy, promoting best practices, and increasing organizational data maturity
- Communicate technical strategy, delivery progress, risks, and business impact clearly to executive and non-technical stakeholders
- Support the organization's AI and advanced analytics initiatives by building robust data foundations
Required Qualifications
- Proven experience leading enterprise data strategy and owning modern data platforms within complex organizations
- Extensive experience building and leading Data Engineering or Data Platform teams
- Strong expertise with modern cloud-based data architectures, data warehousing, ETL/ELT pipelines, and data platform design
- Demonstrated experience implementing data governance, data quality, lineage, metadata management, and stewardship frameworks
- Track record of scaling data capabilities and improving organizational data maturity
- Experience delivering self-service analytics capabilities and enabling business adoption of data products
- Strong understanding of cloud technologies and modern data engineering best practices
- Experience engaging executive stakeholders and influencing strategic business decisions through data
- Excellent leadership, communication, and organizational skills
- Fluent English communication skills
Preferred Qualifications
- Experience building or transforming data functions in rapidly growing organizations
- Background within financial services, fintech, or other regulated industries
- Experience with domain-oriented data architecture or data product methodologies
- Hands-on experience with modern BI platforms such as Power BI, Looker, or Tableau
- Familiarity with data literacy initiatives and organization-wide enablement programs
- Understanding of AI/ML platforms and the data infrastructure required to support them
Why Join Us
- Lead the company's enterprise-wide data strategy and shape its long-term technology direction
- Build and scale a modern cloud-based data platform supporting analytics, operations, and AI initiatives
- Create and develop a high-performing engineering organization with significant influence across the business
- Work closely with executive leadership on strategic initiatives that directly impact company growth
- Drive meaningful organizational transformation by embedding data into decision-making at every level
- Join a collaborative, technology-first environment that values ownership, continuous improvement, and engineering excellence
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.
Head of Data (UK - Remote) employer: PRAGMATIKE
Join a forward-thinking technology-driven financial services company that prioritises data and innovation, offering a remote work environment that fosters collaboration and inclusivity. As the Head of Data, you will have the opportunity to lead the enterprise-wide data strategy, build a high-performing team, and drive meaningful transformation within the organisation, all while enjoying a culture that values continuous improvement and engineering excellence. With a commitment to employee growth and a focus on strategic initiatives, this role is perfect for those looking to make a significant impact in the FinTech space.
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We think this is how you could land Head of Data (UK - Remote)
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We think you need these skills to ace Head of Data (UK - Remote)
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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Craft a Tailored Cover Letter:For a full-time role at PRAGMATIKE, 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 PRAGMATIKE. 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 PRAGMATIKE
✨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 PRAGMATIKE!
✨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.
