Engagement Manager (Personal Line Insurance)
EXL · London
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.