Engagement Manager; Personal Line Insurance

• Job Identification 21985
• Posting Date 10/26/2026, 05:28 PM
• Experience (In Years) 9-12
• Job Location London, United Kingdom

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth  harness the power of data, AI and deep industry knowledge to transform businesses, working with the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.

EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

Headquartered in New York, our team is over 63,000 strong, with more than 50 offices spanning six continents. For information, visit .

Role

Title:

Engagement Manager, Personal Lines Analytics & AI
BU/Segment: Analytics & AI Services - Insurance
Location: London, United Kingdom (4 days a week in the office - hybrid working)
Employment Type: Permanent

Summary of the role:
We are looking for an Engagement Manager to own analytics and AI engagements for UK personal lines insurers end to end, from shaping the opportunity and writing the proposal through to delivering production-grade solutions and growing the account.

This is a hands-on leadership role. You will be the trusted point of contact for client stakeholders, lead multi-disciplinary delivery teams, and bring enough technical depth in ML, GenAI and Agentic AI to make sound architecture decisions and challenge your teams.

Key responsibilities:

Act as the senior day-to-day lead for one or more personal lines clients (motor, home, pet, travel), building relationships up to Director and C-suite level

Understand client priorities across the value chain (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 SOWs end to end, covering solution architecture, delivery approach, team structure, infrastructure costing, commercials and ROI

Develop points of view, demos and accelerators that position the practice in the UK personal lines market

Own the full delivery lifecycle across multiple concurrent engagements: discovery, design, build, deployment and value realisation

Govern scope, timelines, budget, quality, risks and resourcing using Agile delivery practices

Ensure solutions move beyond proof of concept into production, with appropriate MLOps / LLMOps, monitoring and human-in-the-loop controls

Track and report measurable business outcomes (e.g. loss ratio, leakage, cycle time, STP rates, fraud capture, 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

Qualifications and experience we consider essential:

10+ years in analytics, data science or AI, with at least 3–4 years leading client engagements or programmes

Strong insurance domain experience, ideally in personal lines (motor, home)

Proven track record of taking ML and AI solutions from concept into production with quantified business impact

Hands-on credibility across:

Classical ML (GBMs, classification, propensity, time series, explainability)

GenAI and LLMs (RAG, document intelligence, copilots, summarisation, prompt and evaluation design)

Agentic AI frameworks (e.g. Lang Graph, CrewAI, Auto Gen) and tool orchestration

MLOps / LLMOps (MLflow, CI/CD, monitoring, deployment patterns such as blue-green and canary)

Cloud and data platforms (Azure, AWS or GCP; Databricks, Snowflake);
Python, SQL, Py Spark

Experience leading proposals, solution architecture and commercial estimation in a consulting or services environment

Confident communicator able to explain complex AI concepts to senior business stakeholders

Experience managing teams of 10+ people across multiple work streams

Prior work with UK or European insurers, MGAs or insurtechs

Familiarity with core insurance platforms (e.g. Guidewire) and industry data sources (e.g. CUE, IFB, telematics)

Experience building reusable AI…