Manager Software Engineering

relx; Cardiff; On-site; GBP 140,000 - 210,000; Full time

Benefits offered by this job

Country-specific benefits

Equal opportunity employer

Job summary

LexisNexis Risk Solutions in the UK is seeking a Head of Data Engineering to lead the UK&I Data Engineering team. You will drive cloud modernization, governance, and AI adoption while aligning with global stakeholders to deliver scalable data products.

You will mentor engineers, shape strategy, and partner with Product, Analytics, Architecture, Operations, and Security to ensure compliant, high-impact data platforms across the business.

Qualifications

• Experience in Data Engineering, Analytics Engineering, Data Platforms, or related technology disciplines.
• Leadership experience managing technical teams.
• Strong expertise in modern data engineering practices, data architecture, and large-scale data platforms.
• Experience delivering cloud-based solutions, preferably using Azure technologies.
• Strong understanding of data governance, privacy, security, compliance, and risk management requirements.
• Experience leading strategic initiatives and complex cross-functional programs.
• Strong communication, stakeholder management, and organizational leadership skills.
• Demonstrated ability to balance delivery execution with long-term technology strategy.

Responsibilities

• Lead and support data engineers, ensuring clear priorities and consistent delivery.
• Build a culture of accountability, collaboration, continuous improvement, and innovation.
• Support career development, succession planning, talent acquisition, and workforce planning.
• Foster knowledge sharing and engineering excellence practices across US and UK teams.
• Oversee delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities.
• Lead cloud migration and modernisation initiatives leveraging Azure, Databricks, cloud-native services, and modern data architectures.
• Ensure adherence to data governance, privacy, security, compliance, and regulatory requirements.
• Partner with Product, Analytics, Architecture, Operations, and Business Leaders to deliver scalable technical solutions.

Skills

Data engineering leadership

Azure cloud

Data governance

Stakeholder management

Cross-team collaboration

Tools

Azure

Databricks

Job description

Are you a strategic technology leader who is passionate about modernising data platforms, leading high-performing teams, and delivering impactful data solutions at scale?

Do you thrive on driving cloud transformation, strengthening data governance, and advancing AI adoption while partnering with stakeholders across a global organisation?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance.

About our Team :

The UK&I Data Engineering organization designs, builds, validates, governs, and operates data products supporting Business Services and Insurance solutions. The team is responsible for data onboarding, engineering delivery, cloud modernization, data governance, production operations, quality assurance, and regulatory compliance while partnering closely with Product, Architecture, Operations, Security, and Analytics teams.

About the Role

As Head of Data Engineering, you will provide leadership, strategic direction, and operational oversight for the UK&I Data Engineering team. You will play a key role in driving cloud modernisation, strengthening governance and security practices, accelerating AI adoption, and ensuring the successful delivery of business-critical data products that support business growth and customer outcomes. Working across global teams and stakeholders, you will balance delivery excellence with long-term technology strategy, fostering a culture of innovation, collaboration, and continuous improvement.

Responsibilities

• Lead and support data engineers, ensuring clear priorities and consistent delivery
• Build a culture of accountability, collaboration, continuous improvement, and innovation
• Support career development, succession planning, talent acquisition, and workforce planning
• Foster knowledge sharing and engineering excellence practices across US and UK teams
• Oversee delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities
• Lead cloud migration and modernisation initiatives leveraging Azure, Databricks, cloud-native services, and modern data architectures
• Ensure adherence to data governance, privacy, security, compliance, and regulatory requirements
• Partner with Product, Analytics, Architecture, Operations, and Business Leaders to deliver scalable technical solutions

Requirements

• Experience in Data Engineering, Analytics Engineering, Data Platforms, or related technology disciplines
• Leadership experience managing technical teams
• Strong expertise in modern data engineering practices, data architecture, and large-scale data platforms
• Experience delivering cloud-based solutions, preferably using Azure technologies
• Strong understanding of data governance, privacy, security, compliance, and risk management requirements
• Experience leading strategic initiatives and complex cross-functional programs
• Strong communication, stakeholder management, and organisational leadership skills
• Demonstrated ability to balance delivery execution with long-term technology strategy

Risk benefit statement

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.