Engineering Lead - Insurance (Data & AI)

Engineering Lead - Insurance (Data & AI)

Full-Time No working from home possible
Alpha FMC

We are seeking an exceptional Application & Software Engineering Lead with deep Insurance domain expertise to drive the design, delivery, and evolution of our core technology platforms. This is a high-impact leadership role sitting at the intersection of engineering excellence and insurance business capability, responsible for leading cross-functional engineering teams to deliver scalable, resilient, and compliant software solutions.

You will act as a trusted technology partner to the world’s largest insurance firms, translating complex insurance workflows — spanning policy administration, underwriting, claims, and regulatory compliance — into robust, modern application architectures. You will set the technical vision, champion engineering best practices, and cultivate a high-performing team culture.

Key Responsibilities

Engineering Leadership

  • Lead, mentor, and grow a team of software engineers, architects, and analysts across multiple squads.
  • Define and uphold engineering standards, coding practices, and quality frameworks across the function.
  • Drive a culture of continuous improvement, psychological safety, and technical craftsmanship.
  • Conduct regular 1:1s, performance reviews, and career development conversations with direct reports.
  • Collaborate with Engineering Managers, Product Owners, and Delivery Leads to ensure aligned, outcome-driven delivery.

Application Strategy & Architecture

  • Own the application roadmap for core insurance platforms, including policy management, claims, underwriting, and distribution systems.
  • Design and govern scalable, event-driven, cloud-native architectures appropriate for the insurance technology landscape.
  • Lead technical design reviews, architecture decision records (ADRs), and proof-of-concept evaluations.
  • Assess and manage technical debt; prioritise remediation in balance with feature delivery.
  • Evaluate and recommend third-party insurance software (e.g. Guidewire, Duck Creek, Majesco) and integration patterns.

Insurance Domain Delivery

  • Apply specialist knowledge of insurance business processes to shape technical solutions that meet regulatory and operational requirements.
  • Oversee delivery of insurance-specific capabilities: policy lifecycle management, claims handling, bordereaux processing, reinsurance ceding, and premium calculation engines.
  • Ensure compliance with industry standards and regulations including Solvency II, FCA requirements, market standards, and GDPR.
  • Act as a subject matter expert (SME) bridging business stakeholders and engineering teams on insurance domain requirements.

Delivery & Execution

  • Own end-to-end software delivery for one or more product areas; accountable for quality, timeliness, and technical integrity.
  • Champion Agile and DevSecOps practices; contribute to sprint planning, backlog refinement, and release governance.
  • Define and track engineering KPIs including lead time, deployment frequency, MTTR, and defect escape rate.
  • Manage stakeholder expectations and provide transparent reporting on engineering progress and risk.
  • Partner with Product, Actuarial, Risk, Compliance, and Operations teams to understand and shape business requirements.
  • Manage relationships with technology vendors and insurance software providers; lead procurement and contract negotiations where required.
  • Represent the engineering function in senior leadership forums, architecture boards, and client-facing engagements.

Skills & Experience

  • Significant experience (7+ years) in software engineering.
  • Demonstrable insurance domain expertise across one or more of: Specialty, London Market / Lloyds, or Reinsurance.
  • Strong command of modern application development: microservices, API-first design, event-driven architecture, and cloud platforms (AWS, Azure, or GCP).
  • Proven ability to lead distributed engineering teams delivering in an Agile/SAFe environment.
  • Deep understanding of insurance data models, regulatory frameworks (FCA, PRA, Solvency II), and compliance requirements.
  • Excellent communication skills with the ability to engage technical and non-technical audiences, including C-suite stakeholders.

Highly Desirable

  • Consulting experience.
  • Background in data engineering or analytics within an insurance context (e.g. actuarial data platforms, claims analytics).
  • Relevant certifications: AWS Solutions Architect, Azure Solutions Architect, TOGAF, or equivalent.
  • Exposure to AI/ML applications in insurance (e.g. fraud detection, underwriting automation, NLP for claims).
  • Languages & Frameworks: Java, Python, .NET, or similar enterprise-grade stack; REST and GraphQL APIs.
  • Data & Integration: Kafka / event streaming, enterprise integration patterns, EDI/ACORD XML or JSON standards.
  • Security & Compliance: OWASP practices, data privacy engineering, secure SDLC.

What We Offer

  • Competitive base salary benchmarked to senior tech consulting market rates.
  • Annual performance bonus tied to individual and company outcomes.
  • Comprehensive benefits package including private medical insurance, life assurance, and income protection.
  • Hybrid working model with flexible arrangements to support work-life balance.
  • Generous pension scheme with enhanced employer contributions.
  • Continuous learning budget and access to industry conferences, certifications, and training programmes.
  • 25 days annual leave plus bank holidays, with option to buy additional days.
  • Employee assistance programme and wellbeing support.
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Alpha FMC

Contact Details:

Alpha FMC Recruitment Team