Location: UK Remote
Start date: ASAP
Languages: Fluent English required
Industry: FinTech / Financial Services / Data & Analytics
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.
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
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
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
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.
Based on 1,525 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $203K (10th–90th percentile: $103K–$244K).
See the full Data & ML salary breakdown →