About this opportunity
LexisNexis Risk Solutions lists this Manager Software Engineering opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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
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.
#J-18808-Ljbffr
Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.