Senior Data Modeller - Commercial Insurance

• Job Identification 15290
• Posting Date 06/05/2026, 09:33 AM
• Job Role Data Management and Analytics-Data Modelling
• Experience (In Years) 6-9
• Job Location London, United Kingdom

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,

Location:London, United Kingdom(Hybrid working)

Employment Type:Permanent

The Senior Data Modeller will provide technical expertise and leadership in analysis, design, development, rollout and maintenance of enterprise data models and solutions. This role establishes a clear, layered approach (conceptual, logical, physical) to ensure consistency, scalability, and alignment across the enterprise.

The position requires deep understanding of the insurance data domain and provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from an enterprise perspective. The Senior Data Modeler creates high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape.

The role sets design principles and standards to build trusted, reusable, and well-governed data assets that support business outcomes. This includes implementing consistent, business-friendly naming conventions and aligning with governance frameworks, including London Market and regulatory requirements where applicable.

Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as innovation, critical thinking, optimism, positivity, communication, time management, collaboration, problem solving, acting independently, knowledge sharing and being approachable.

As part of your duties, you will be responsible for:

• Design and develop conceptual, logical, and physical data models for enterprise-scale data lake and data warehouse solutions, along with corresponding metadata, ensuring layered consistency and scalability across the enterprise
• Establish and enforce design principles, standards, and naming conventions to build trusted, reusable, and well-governed data assets that support business outcomes
• Create high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape
• Implement consistent, business-friendly naming conventions and align with governance frameworks, including London Market standards (ACORD, CDR, MRC) and regulatory requirements where applicable
• Define processes, ownership, and tooling to maintain, govern, and continuously evolve data assets over time
• Understanding of data integration processes (batch or real-time) using tools such as Informatica Power Center and/or Cloud, Microsoft SSIS, Mule Soft, Data Stage, Sqoop, and similar platforms
• Create functional and technical documentation including data integration architecture documentation, data models, data dictionaries, data integration specifications, and data testing plans
• Collaborate with business users to analyse and test requirements, translating business needs into scalable technical solutions
• Stay current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for data architecture
• Lead and support setting the data architecture direction…