Gegevensbeheerder

Job Title: Head of Data & Analytics
Location: Cardiff / Hybrid

We are a lending and technology company with a clear vision: to be The Funding Platform for the Future of Work. By offering flexible payments, it lets recruiters, consultants, and labour marketplaces place contractors and freelancers to unlock their cashflow to capitalise on the opportunities that flexible working provides. The Head of Data and Analytics is accountable for the timely delivery of valuable, high-quality and robust data products and services to both internal and external stakeholders. It is a pivotal role in driving our data/AI strategy and for ensuring that the Data team is motivated and engaged.

Develop a prioritised roadmap aligned to business vision that drives growth, efficiency and risk mitigation through effective use of data across the organisation
Establish and communicate a clear vision and strategy for data and AI that aligns with roadmap and business vision
Own and ensure resolution of tasks assigned to any data team member in relevant cross-functional projects
Serve as a data spokesperson for the company, communicating with various stakeholders, including customers, partners, and investors where necessary
Regularly report to Leadership team on your team’s performance with any concerns, issues and recommended remediation where applicable

Manage, mentor, and support a multidisciplinary team of data engineers, analysts, scientists and governance professionals. Attend and engage in any training requested and/or provided to support your development as a senior manager
Facilitate collaborative team meetings and individual assessments with direct reports such as one-on-one meetings and performance reviews to ensure that individual team members are supported in their career development
Monitor and compare the team’s adherence to key performance indicators and take remedial action if improvement is required
Regularly review the agile delivery models set out by each team to foster continuous improvement, learning and knowledge sharing
Design and oversee the scaling of our data infrastructure, ensuring it meets the growing demands of the business
Ensure data platforms and pipelines are robust, secure, and optimised for performance and scalability, working closely with DevOps/Platform Engineering
Evaluate and implement modern data tools and technologies to enhance infrastructure and support business growth
Stay ahead of industry trends, especially in fintech, ensuring that the company leverages cutting-edge data technologies and practices

Data Governance and Quality Assurance:
Implement a scalable data governance strategy with the Data Protection Officer (DPO) that includes setting and adhering to data quality / regulatory standards, ensuring clear ownership of data assets and embedding quality practices
Implement automated testing, validation, and monitoring processes to ensure data integrity, accuracy and compliance as initiatives are delivered
Establish engineering quality-scoring regime (i.e. a multi-variate analysis across factors such as levels of code coverage, static analysis, code reviews/inspections and automated regression tests) and have strategy to measure and improve quality as business matures

Data and AI as Products:
Champion the concept of data as a product, ensuring clear ownership of data assets and alignment with business priorities
Collaborate with business teams to define and deliver well-structured data products that meet the needs of internal and external stakeholders
Drive initiatives to improve the accessibility, usability, and quality of data across the organisation, enabling data-driven decision-making at all levels
Lead initiatives that explore AI/ML opportunities, integrating these into the data product roadmap to deliver predictive insights and innovative solutions

A proven track-record of engineering commercial software applications (i.e. technology that is sold to customers); Expert-level proficiency in SQL and Python, with strong experience in modern data platforms (Fivetran, dbt, Snowflake)
Deep knowledge of cloud-based data architectures, particularly in Azure (Functions, LogicApps, etc.), Familiarity with DevOps practices, including CI/CD pipelines and tools like Azure DevOps
Experience with AI/ML tools and frameworks and familiarity with model deployment and MLOps practices
This includes demonstrating the ability to guide stakeholder conversations in plain English, even when dealing with complicated business, product or technical concepts
28 days holiday + bank holidays
~ Private medical insurance with Bupa
~ Employee Assistance Programme
~ Eye care vouchers with Specsavers
~50% discounted gym membership
~You’ll work for a company that is passionate about personal development and a strong community focussed culture


These checks will include National ID Checks, Right to Work, Employment References, Adverse Financial History, Criminal Record, Global Sanctions, Bankruptcy checks. Our Talent Acquisition team will be able to run you through these in detail at the early stage of your application.