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 LeadershipAct 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. 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.
Skills Required
- 10+ years of experience in analytics, data science, or AI
- 3–4 years leading client engagements or programmes
- Strong insurance domain experience, ideally in personal lines such as motor or home
- Track record taking machine learning and AI solutions from concept into production with quantified business impact
- Hands-on experience with classical machine learning, including GBMs, classification, propensity, time series, and explainability
- Experience with GenAI and LLMs, including RAG, document intelligence, copilots, summarisation, prompt design, and evaluation design
- Experience with agentic AI frameworks and tool orchestration, such as LangGraph, CrewAI, or AutoGen
- Experience with MLOps and LLMOps, including MLflow, CI/CD, monitoring, and blue-green or canary deployment patterns
- Experience with cloud and data platforms such as Azure, AWS, GCP, Databricks, or Snowflake
- Proficiency in Python, SQL, and PySpark
- Experience leading proposals, solution architecture, and commercial estimation in a consulting or services environment
- Strong communication skills for explaining complex AI concepts to senior business stakeholders
- Experience managing teams of 10 or more people across multiple workstreams
- Experience with UK or European insurers, MGAs, or insurtechs
- Familiarity with insurance platforms and data sources such as Guidewire, CUE, IFB, or telematics
- Experience building reusable AI accelerators or intellectual property
- Relevant cloud ML, GenAI, or project management certifications
- Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
