Jobs at EXL

Data and AI interns support analytics, AI, and data projects; analyze information to identify trends and insights; research emerging technologies; develop presentations and recommendations; and collaborate with multidisciplinary teams. The role provides practical exposure to data analysis, generative AI, machine learning, and business problem-solving while building technical, communication, and presentation skills.

Executes accounts receivable and credit management activities, including cash application, payment allocation, customer account maintenance, query resolution, credit hold processing, and credit review support. Ensures accurate, timely transaction processing, follows documented procedures, completes quality checks, meets productivity targets, and escalates exceptions appropriately.

Design and implement enterprise data architectures and models for a specialty insurance Azure Databricks lakehouse. Responsibilities include dimensional, Data Vault, and medallion modeling; data integration and ingestion frameworks; performance and cost optimization; governance, security, metadata, testing, and CI/CD design. The role also involves stakeholder engagement, architecture documentation, client workshops, delivery oversight, technical leadership, mentoring, and supporting solution scoping across regulated insurance environments.

Lead AI governance, risk, and assurance engagements for clients across machine learning, generative AI, and agentic AI. Responsibilities include maturity assessments, AI risk classification, regulatory mapping, control design and testing, AI audits, model and data risk assessments, monitoring, executive reporting, stakeholder workshops, engagement management, quality control, and coaching analysts. The role requires practical knowledge of AI governance frameworks, model risk, privacy, data governance, and UK and European AI regulations.

Coordinates delivery for a large-scale banking risk platform transformation. Responsibilities include integrated planning, dependency and RAID management, stakeholder coordination, governance, reporting, escalation management, and implementation readiness across business, technology, data, cloud, security, architecture, and external partner teams.

Support end-to-end recruitment for Technology, Data and AI roles: sourcing via LinkedIn Recruiter, screening CVs, scheduling interviews, assisting offers and onboarding, maintaining ATS and Excel trackers, and using AI tools to improve sourcing and administration.

Leads third-party risk management and outsourcing governance, supervising analysts, reviewing complex risk assessments, overseeing supplier due diligence, coordinating incident response, ensuring regulatory and audit readiness, and reporting to senior management. Partners with Procurement, IT, Information Security, Legal, Compliance, and business stakeholders to mitigate risks, improve processes, manage SLAs, and resolve escalations.

Leads analytics and AI strategy for utilities clients, overseeing data science, business, customer, marketing, and data analytics engagements. Manages and mentors large teams, develops AI/ML solutions, guides executive stakeholders, delivers consulting projects, supports account growth, and drives data-informed business strategy, operational improvements, and continuous improvement initiatives.

Leads insurance data, analytics, and AI growth across the UK market. Owns business development, account strategy, solution design, proposals, executive relationships, and delivery oversight for large programs. Advises insurers on AI use cases, cloud data modernization, governance, and responsible AI while managing commercial outcomes, client satisfaction, and global delivery teams. The role also develops thought leadership, market propositions, and practice talent.

Leads enterprise Generative AI and Agentic AI consulting engagements from strategy through production. Owns architecture, implementation, governance, evaluation, LLMOps, security, and scalable AI platforms. Partners with executives and sales teams to shape solutions, win and expand engagements, develop reusable accelerators, and define reference architectures. Leads global multidisciplinary teams, mentors technical talent, and remains hands-on with critical architecture and engineering challenges.

Leads end-to-end analytics and AI engagements for UK personal lines insurers, including client strategy, opportunity shaping, proposals, solution architecture, delivery, production deployment, account growth, and measurable business outcomes. Manages multidisciplinary onshore and offshore teams, oversees budgets, timelines, risks, MLOps and LLMOps, and applies machine learning, GenAI, and agentic AI across insurance functions such as pricing, underwriting, claims, fraud, and customer operations.

Supports finance transformation initiatives by gathering and documenting requirements, mapping current and future processes, translating finance needs for technology teams, and supporting system implementation, testing, UAT, and business readiness. The role works with Finance, Technology, Data, and business stakeholders to improve processes through automation and AI tools such as Microsoft Copilot and Claude.

Designs and delivers technology- and AI-enabled finance transformation solutions for clients. Responsibilities include assessing and optimizing finance processes, designing target operating models, supporting ERP and automation initiatives, developing AI use cases and business cases, contributing to proposals and go-to-market propositions, facilitating client workshops, and supporting transformation delivery. The role requires strong finance process knowledge, consulting experience, and collaboration across finance, technology, data, and AI teams.

Conduct data governance reviews, assessments, and sign-offs for strategic initiatives. Ensure compliance with Data Minimum Standards, data ownership, quality, metadata, and governance requirements. Represent Data Governance in architecture, Salesforce, and change approval forums; guide project teams through governance checkpoints and required artefacts. Collaborate with delivery, architecture, technology, business, and data stakeholders to promote consistent governance and accountability across initiatives.

Performs detailed reinsurance reconciliations, validates premiums, claims, commissions, recoveries, and related calculations, investigates historical accounting discrepancies, proposes adjustments, and identifies process, control, data, and system improvements. The role supports finance transformation, maintains audit documentation, and collaborates with Finance, Reinsurance Operations, Claims, IT, and client stakeholders to resolve issues and improve accounting accuracy.

Leads client-facing data solution architecture for banking, capital markets, energy, utilities, and travel clients. Designs enterprise data platforms, lakehouses, pipelines, integrations, models, migrations, governance, and AI-ready foundations. Provides technical leadership to delivery teams, conducts architecture reviews, manages risks, supports estimates, and shapes consulting proposals, proofs of concept, and client workshops. Contributes reusable architectures and practice capabilities while balancing technical quality, commercial considerations, delivery feasibility, and regulatory requirements.

Leads UK and EMEA Finance & Risk Advisory Consulting growth through business development, executive client advisory, engagement leadership, and practice strategy. Responsibilities include originating opportunities, leading proposals and negotiations, overseeing regulatory compliance, risk, audit, finance transformation, cybersecurity, procurement, and AI governance engagements, managing revenue and P&L, developing consulting teams, and promoting thought leadership.

Lead insurance-focused AI and digital transformation consulting across the UK and EMEA. Develop go-to-market strategy, originate and close complex opportunities, manage client relationships, shape data and AI solutions, and lead maturity assessments, target-state blueprints, roadmaps, and implementation prioritization. Own engagement P&L, pricing, budgets, revenue projections, pipeline, margins, and account expansion while advising senior insurance executives and coordinating multidisciplinary consulting, architecture, engineering, data, AI, and delivery teams.

Design, develop and maintain conceptual, logical and physical enterprise data models. Translate business requirements into scalable data solutions, define source-to-target mappings, support relational and NoSQL implementations, optimise performance, drive data modelling standards, perform reverse engineering, and advise stakeholders on data architecture, governance and integration throughout project lifecycles.

Lead and scale an ecosystem-led revenue engine for EXL Data, Analytics & AI. Build hyperscaler and data-platform partnerships (MAG, Databricks, Snowflake), drive co-sell, joint solutions, marketplace monetization, industry-specific offerings, and embed partner-led GTM across sales, solutions, and marketing to accelerate large data and AI transformation deals.