Engagement Manager (Personal Line Insurance)

ExlService Holdings, Inc.; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Generous bonus

Private healthcare

Critical illness protection

Income protection

Pension

ESPP stock plan

Cycle scheme

Hybrid working

Job summary

ExlService Holdings, Inc. in London seeks an Engagement Manager for Personal Lines Analytics & AI. You will own analytics and AI engagements end-to-end, shaping opportunities, writing proposals, and delivering production-grade solutions while growing the account.

The role requires deep ML/GenAI expertise and proven leadership of multi-disciplinary teams. You will lead discovery workshops, manage end-to-end delivery from design to value realisation, and collaborate with client stakeholders up to

Qualifications

• 10+ years in analytics, data science or AI
• 3–4 years leading client engagements or programmes
• Strong insurance domain experience, ideally in personal lines
• Proven production ML/AI deployments with quantified impact
• Hands-on credibility across ML, GenAI and agentic AI
• MLOps / LLMOps experience (MLflow, CI/CD, monitoring)
• Cloud platforms (Azure, AWS or GCP) and data platforms (Databricks, Snowflake)
• Proficient in Python, SQL, PySpark
• Experience leading proposals, solution architecture and estimation
• Confident communicator to senior stakeholders
• Experience managing teams of 10+ across workstreams
• UK/European insurers, MGAs or insurtechs experience
• Familiarity with Guidewire and industry data sources
• Experience building reusable AI accelerators or IP
• Degree in CS/Engineering/Statistics/Math or related field

Responsibilities

• Own analytics and AI engagements end-to-end for UK personal lines insurers
• Lead senior day-to-day engagement delivery for multiple clients
• Translate client priorities into analytics roadmaps
• Identify follow-on opportunities and drive account growth
• Lead discovery workshops; shape problem statements and business cases
• Own proposals, SOWs, and ROI calculations end-to-end
• Develop AI accelerators and reusable assets for the practice
• Oversee full delivery lifecycle with Agile; manage scope, timelines and budget
• Ensure production deployment with MLOps/LLMOps and monitoring
• Track measurable business outcomes (loss ratio, leakage, cycle time, fraud)
• Lead cross-functional teams across onshore and offshore
• Mentor team members and contribute to hiring
• Collaborate with insurance domain experts and platform partners

Skills

Client engagement leadership

Analytics & AI strategy

GenAI & LLMs

Cross-functional leadership

Executive communication

Education

Computer Science or related field degree

Tools

MLflow

CI/CD

Azure/AWS/GCP

Databricks

Python

SQL

Job description

Engagement Manager (Personal Line Insurance)

Job Info

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

Job Description

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 at speed. We 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 www.exlservice.com.

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

Delivery Ownership

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. LangGraph, CrewAI, AutoGen) 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, PySpark

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 workstreams

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 accelerators or IP

Degree in Computer Science, Engineering, Statistics, Mathematics or a related field

As part of a leading global data and artificial intelligence ("AI") company, you can look forward to:

A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.

EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.

At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies.

As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.

EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).

At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the United Kingdom.