Engagement Manager (Personal Line Insurance)

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

Client & Account Leadership

• 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

Pre-Sales & Solutioning

• 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)

Team Leadership

• 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

Desirable

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

Relevant certifications (cloud ML, GenAI, project management)

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.