Engineering Lead (Insurance, Data & AI)

TL;DR

Engineering Lead (Insurance, Data & AI): Driving the design, delivery, and evolution of core technology platforms for the insurance industry with an accent on complex insurance workflows, regulatory compliance, and modern application architecture. Focus on leading cross-functional teams, defining technical vision, and bridging the gap between business requirements and scalable software solutions.

Location: Must be based in London, UK (Hybrid model)

Company

A leading global boutique management consulting firm specializing in the financial services and insurance industry.

What you will do

• Lead, mentor, and grow cross-functional teams of software engineers, architects, and analysts.
• Define and uphold engineering standards, coding practices, and quality frameworks.
• Own the application roadmap for core insurance platforms including policy management, claims, and underwriting.
• Design scalable, event-driven, cloud-native architectures for the insurance technology landscape.
• Apply specialist insurance domain knowledge to shape solutions meeting regulatory requirements like Solvency II and GDPR.
• Partner with Product, Actuarial, Risk, and Operations teams to shape business requirements and manage vendor relationships.

Requirements

• 7+ years of experience in software engineering.
• Demonstrable insurance domain expertise (Specialty, London Market/Lloyds, or Reinsurance).
• Strong command of modern application development (microservices, API-first design, event-driven architecture).
• Proven ability to lead distributed engineering teams in an Agile/SAFe environment.
• Deep understanding of insurance data models and regulatory frameworks (FCA, PRA, Solvency II).
• Excellent communication skills for engaging with technical and non-technical C-suite stakeholders.

Nice to have

• Consulting experience.
• Background in data engineering or analytics within an insurance context.
• Experience with large-scale digital transformation or legacy modernisation.
• Relevant certifications (AWS/Azure Solutions Architect, TOGAF).
• Exposure to AI/ML applications in insurance (fraud detection, underwriting automation, NLP).

Culture & Benefits

• Competitive base salary with annual performance bonus.
• Comprehensive benefits including private medical insurance, life assurance, and income protection.
• Hybrid working model with flexible arrangements.
• Generous pension scheme with enhanced employer contributions.
• Continuous learning budget for certifications and training.
• 25 days annual leave plus bank holidays.