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EXL

Analyzes business data and runs outsourced operations

Engagement Manager - Personal Line Insurance

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • At least 10 years of experience in analytics, data science, or AI, including at least 3–4 years leading client engagements or programmes.
  • Strong insurance domain experience, ideally in personal lines such as motor or home.
  • A proven track record of taking machine learning and AI solutions from concept into production with quantified business impact.
  • Hands-on credibility across classical machine learning, including gradient-boosted models, classification, propensity, time series, and explainability; generative AI and large language models, including retrieval-augmented generation, document intelligence, copilots, summarisation, prompt and evaluation design; agentic AI frameworks such as LangGraph, CrewAI, or AutoGen and tool orchestration; machine learning operations and large language model operations, including MLflow, continuous integration and continuous delivery, monitoring, and blue-green and canary deployment patterns; cloud and data platforms such as Azure, AWS or GCP, Databricks, and Snowflake; Python, SQL, and PySpark.
  • Experience leading proposals, solution architecture, and commercial estimation in a consulting or services environment.
  • Experience managing teams of 10 or more people across multiple workstreams.
  • Must already be eligible to work in the United Kingdom.

Responsibilities

  • Act as the senior day-to-day lead for one or more personal lines clients across motor, home, pet, and travel, building relationships up to director and C-suite level.
  • Understand client priorities across pricing, underwriting, claims, fraud, customer, and distribution, and translate them into an analytics and AI roadmap.
  • Identify and develop follow-on opportunities, owning account growth targets alongside the account leadership team.
  • Lead discovery workshops and shape problem statements, hypotheses, and business cases.
  • Own proposals and statements of work end to end, covering solution architecture, delivery approach, team structure, infrastructure costing, commercials, and return on investment.
  • Develop points of view, demos, and accelerators to position the practice in the UK personal lines market.
  • Own the full delivery lifecycle across multiple concurrent engagements, from discovery, design, build, and deployment through value realisation.
  • Govern scope, timelines, budget, quality, risks, and resourcing using Agile delivery practices.
  • Ensure solutions progress beyond proof of concept into production, with appropriate machine learning operations and large language model operations, monitoring, and human-in-the-loop controls.
  • Track and report measurable business outcomes, including loss ratio, leakage, cycle time, straight-through processing rates, fraud capture, and customer outcomes.
  • Lead and develop a cross-functional team of data scientists, AI engineers, data engineers, and business analysts across onshore and offshore locations.
  • Mentor team members through structured reviews, knowledge sharing, and hiring.
  • Build reusable assets and best practices that scale across the practice.

Desired Qualifications

  • Prior work with UK or European insurers, managing general agents, or insurtechs.
  • Familiarity with core insurance platforms such as Guidewire and industry data sources such as CUE, IFB, and telematics.
  • Experience building reusable AI accelerators or intellectual property.
  • Relevant certifications in cloud machine learning, generative AI, or project management.
  • A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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