Data Modeller

• Job Role Data Management and Analytics-Data Modelling
• Experience (In Years) 6-9
• Job Location Yorkshire , 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, visit

Employment Type:Permanent

As a Data Modeller, you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation.

You will be responsible for developing conceptual, logical and physical data models, defining source-to-target mappings, and supporting the implementation of relational and No

SQL database solutions, operational data stores (ODS), data marts and data lakes. Working closely with business and technical stakeholders, you will ensure data architecture aligns with enterprise standards, governance frameworks and best practices.

You will also drive improvements to existing data architecture, optimise data performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams.

We are looking for someone who demonstrates leadership through innovation, critical thinking, collaboration and knowledge sharing. You will be a proactive problem solver with strong communication skills, a positive mindset, excellent time management and a passion for delivering robust, scalable data solutions.

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

• Translate business requirements into scalable data models that support long-term business and technology objectives.
• Design, develop and maintain conceptual, logical and physical data models using industry best practices to ensure data quality, consistency and minimal redundancy.
• Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings.
• Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance.
• Optimise and enhance existing data models to support new business initiatives and improve performance.
• Define and promote data modelling standards, naming conventions and best practices across projects.
• Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency.
• Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation.
• Assess logical and physical data models for quality, integrity, performance and alignment with business requirements.
• Validate business data entities and ensure data models accurately reflect business processes and information requirements.
• Analyse data integration challenges and recommend scalable, efficient solutions across multiple systems.
• Provide technical guidance to Business Analysts, Developers, Engineers and Solution Architects on data modelling, database design and integration approaches.
• Review application and database designs, recommending improvements to enhance scalability, maintainability and performance.
• Contribute to the development and implementation of enterprise data architecture, including data movement strategies, technology direction and governance frameworks.
• Ensure all data architecture deliverables comply with enterprise standards, policies and best practices.
• Collaborate closely with project managers, business stakeholders, technical teams and clients to provide expert guidance on all aspects of data…