Senior Data & Analytics Lead – Specialty Insurance

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Senior Data & Analytics Lead – Specialty Insurance

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Job Info

• Job Identification12686
• Posting Date04/14/2026, 12:01 PM
• Job RoleBusiness Analysis-Business Intelligence
• Experience (In Years)6-9
• Job LocationLondon, United Kingdom

Job Description

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations.

EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.

Role Title: Senior Data & Analytics Lead – Specialty Insurance

BU/Segment: Analytics / Data Management / Insurance

Location: London, United Kingdom (5 days a week, on-site (office-based)

Employment Type: Permanent to start as soon as possible

Experience: 7–10 years

Summary of the role

We are seeking an experienced Senior Data & Analytics Lead with strong Specialty Insurance domain expertise, particularly in MGAs, to lead and deliver client-facing analytics and reporting initiatives.

This role requires hands-on technical capability combined with the ability to lead offshore delivery teams from an onshore (UK) location, working closely with client stakeholders to translate business requirements into scalable data solutions.

As part of your duties, you will be responsible for

Client Engagement & Delivery

• Act as the primary onshore point of contact for client stakeholders, understanding business requirements and translating them into data and analytics solutions
• Lead delivery of client projects by managing and coordinating offshore teams, ensuring quality, timeliness, and alignment with client expectations
• Provide thought leadership and recommendations to clients on data, analytics, and reporting improvements
• Ensure strong governance, documentation, and communication across onshore–offshore teams

Data & Analytics Leadership

• Lead end-to-end data and analytics solutions, from requirement gathering to design, development, and deployment
• Design and deliver analytical datasets, dashboards, and reports to support underwriting, bordereau management, and performance monitoring
• Ensure data accuracy, consistency, and alignment with insurance business definitions

Technical Responsibilities

• Hands-on development and review of:
• SQL for data extraction, transformation, and validation
• Power BI dashboards and reports for business and executive users
• Power Apps for workflow automation and operational use cases
• Support and oversee Bordereaux production, validation, and reporting processes
• Optimize data models and reporting performance

Domain Expertise

• Apply strong Specialty Insurance knowledge, including:

• Understanding of MGA operating models

• Bordereaux structures and reporting requirements

• Financial and underwriting data concepts

• Advise clients on best practices in data management and analytics within the insurance domain

Qualifications and experience we consider to be essential for the role

Required Skills

• 7–10 years of experience in Data & Analytics roles, preferably within Insurance
• Strong experience working with Specialty Insurance and MGAs
• Proven experience leading offshore delivery teams while working onshore with clients
• Advanced SQL skills
• Strong hands-on experience with Power BI and Power Apps
• Working knowledge of Bordereaux production and reporting
• Excellent stakeholder management and communication skills
• Strong analytical and problem-solving mindset
• Ability to balance hands-on delivery with leadership responsibilities
• Client-focused, proactive, and outcome-driven
• Comfortable working in fast-paced, delivery-oriented environments

Preferred Qualifications

• Experience working in consulting or professional services environments
• Exposure to cloud data platforms or modern data architectures
• Experience with data quality frameworks and governance

As part of a leading global data and 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 have the opportunity to 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.

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