Jobs at EXL

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 strategic data management engagements for banking and capital markets clients, overseeing delivery, budgets, margins, resources, risks, client relationships, and team performance. Develops data management propositions, case studies, accelerators, and go-to-market assets; supports proposals, pre-sales, account growth, and executive reviews. Requires extensive enterprise data management and business intelligence experience, financial services expertise, technical architecture or project management experience, and consulting engagement leadership.

Designs and delivers scalable Azure-based data pipelines and integration solutions using Databricks, Data Factory, SQL Database, Synapse, and Data Lake. Responsibilities include ETL/ELT development, data modelling, performance optimisation, data quality, governance, documentation, and stakeholder collaboration. The role supports retail data transformation programmes and requires leadership of technical delivery or project teams, along with deep expertise in retail data domains and enterprise-scale data engineering.

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.

Analyze large fan and marketing datasets using SQL, Python, Databricks, AWS, and Snowflake. Build dashboards, recurring reports, audience segments, and campaign performance tracking for international markets. Translate business questions into actionable insights, support marketing campaigns and UAT, investigate data issues, and collaborate with marketing, data engineering, international teams, and external partners. Clearly communicate findings to nontechnical stakeholders while supporting fan growth and engagement analytics.

Leads development, enhancement, governance, calibration, and validation of UK mortgage IRB credit risk models covering PD, LGD, and EAD. The role manages model lifecycle activities, back-testing, performance analysis, deficiency remediation, documentation, stakeholder engagement, and compliance with UK PRA Basel 3.1 requirements. It requires collaboration across credit, risk, business, and support functions, plus strong quantitative, regulatory, coding, communication, and project leadership skills.

Lead financial and regulatory reporting engagements for insurance clients, reviewing statutory statements, management reporting, regulatory submissions, investment accounting, and reporting controls. Manage audit relationships, close processes, remediation, governance improvements, and reporting transformation initiatives. Advise senior finance stakeholders, lead workshops, present recommendations, and coordinate delivery teams across onshore and offshore locations while driving automation, standardization, and technology enablement.

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, build, deploy, and optimize scalable data pipelines and ETL/ELT processes using Azure Databricks and related Azure services. Develop data models, data quality frameworks, integration solutions, and technical documentation for insurance data transformation programs. Collaborate with stakeholders, lead technical delivery, and apply data governance, warehousing, distributed computing, Agile, and DevOps practices.

Own the UK marketing strategy for Insurance and Banking, driving brand recognition, demand generation, qualified leads, pipeline growth, and priority account nurturing. Develop industry marketing programs, coordinate globally distributed specialists, partner with executives and sales teams, measure performance and ROI, and optimize campaigns. The role requires strategic planning, hands-on execution, stakeholder influence, data-driven decision-making, and integrating AI into marketing workflows.

Manage end-to-end recruitment for UK & Ireland: develop sourcing strategies, screen and assess candidates, maintain ATS, manage agency relationships, report on hiring metrics, support onboarding, and promote diversity and candidate experience.

Conduct market and competitor research, analyse findings, create professional PowerPoint presentations, support RFPs and client documents, research AI and emerging technologies, use AI tools for research, and collaborate across teams on ad hoc reporting to support business growth.

Senior client-facing consulting leader for Energy & Infrastructure who originates and leads AI- and data-enabled transformation engagements across UK/EMEA. Drives go-to-market, shapes solutions from discovery through delivery, leads multidisciplinary teams, owns P&L and pricing, and grows pipeline, revenue and margins while delivering measurable operational and commercial value for E&I clients.

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.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.

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.

Lead client-facing analytics engagements for insurance clients: drive business development, manage accounts, oversee delivery of analytics use cases (claims, underwriting, marketing, actuarial), collaborate with technical teams on cloud and data solutions, build relationships with senior client stakeholders, and represent the firm in industry thought leadership.