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
Learn more about the LexisNexis Risk team and how we work here
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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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.
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Skills Required
- 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
- Ability to balance delivery execution with long-term technology strategy
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
