Jobs at EXL

Leads credit risk forecasting for a US credit card acquisition program. Responsibilities include building response and balance curves, developing forecasting methodologies, evaluating Value Matrix assumptions, benchmarking predictive performance, recommending optimization enhancements, designing champion-challenger testing, and presenting recommendations to senior leadership. The role also manages client relationships and supports business development through analytics, modeling, and risk consulting services.

Leads end-to-end analytics projects, including requirements gathering, data pipelines, machine learning model development and deployment, BI dashboards, reporting automation, data quality, and stakeholder delivery. Optimizes SQL performance, deploys models on GCP, documents methodologies, supports business development, and mentors analytics teams.

Leads advanced analytics and data engineering projects in data governance. Designs scalable data quality tools, develops large-scale data pipelines, performs analysis, and delivers data-driven insights to clients and senior executives. Uses Python, SQL, Spark, SAS, and statistical methodologies for data processing, deployment, and documentation. Manages project delivery, gathers requirements, facilitates client feedback, and presents findings. The role requires a master’s degree and four years of data engineering and analytics experience.

Provides executive and administrative support to the CHRO and HR leadership team while coordinating HR transformation, AI adoption, and process-improvement projects. Responsibilities include calendar and travel management, meeting organization, executive communications, project planning, stakeholder follow-up, user testing, progress tracking, risk escalation, reporting, and confidential information handling.

Leads the architecture, development, modernization, and optimization of enterprise Databricks Lakehouse platforms. Designs batch and real-time pipelines, implements Spark and PySpark solutions, and establishes governance, data quality, security, monitoring, and CI/CD practices. Provides technical leadership, mentors engineering teams, manages delivery risks, and translates business requirements into scalable cloud data solutions across Azure, AWS, or GCP. Supports analytics, AI/ML, and business intelligence initiatives while optimizing platform performance, cost, reliability, and compliance.

Leads enterprise-scale Databricks Lakehouse architecture, data platform modernization, and batch or real-time ETL/ELT development. Designs scalable Spark and PySpark solutions across cloud platforms, establishes governance, security, quality, lineage, and observability standards, and drives CI/CD and infrastructure automation. Provides technical leadership through architecture and code reviews, mentoring, stakeholder engagement, delivery planning, and executive communication. Supports analytics, AI/ML, and business intelligence ecosystems while optimizing platform performance, reliability, and cost.

Build and support end-to-end data pipelines using Fivetran, Snowflake, and dbt. Develop data models, tests, documentation, incremental processes, and optimized SQL. Manage Snowflake security and data-loading patterns, implement data quality monitoring, troubleshoot production issues, and support CI/CD deployments. Collaborate with technical and business teams to onboard data sources and deliver enterprise data products. Python, orchestration, AWS, and AI-assisted development experience are beneficial.

Analyze customer behavior, segmentation, clickstream data, attribution, and marketing campaign performance. Design A/B tests, apply statistical modeling using SQL, Python, and SAS, and develop automated Tableau dashboards and reporting. Provide actionable insights to improve customer acquisition, retention, engagement, and marketing ROI.

Leads end-to-end data engineering initiatives, including Azure Databricks development, SQL-to-PySpark migration, data integration, automation, and analytics solutions. Manages client requirements, developer teams, stakeholder alignment, quality control, compliance, performance evaluation, and strategic data sourcing. The role also involves managing risk analytics projects and ensuring adherence to organizational policies.

Lead end-to-end marketing strategy for strategic ecosystem partnerships, including annual planning, co-marketing campaigns, demand generation, budget management, pipeline attribution, executive reporting, events, and partner enablement. Collaborate with partner leads, marketing teams, AI and industry marketing, events, and leadership to grow joint pipeline and revenue while strengthening EXL’s AI and data positioning.

Own full-cycle recruiting for specialized Data Engineering, Analytics, AI/ML, Cloud, and Digital technology roles. Develop proactive sourcing strategies using technical communities and alternate channels, build passive candidate pipelines, advise hiring managers on talent markets, manage candidate experience, maintain ATS reporting, and improve hiring velocity, quality, diversity, and assessment processes.

Leads insurance-focused data and cloud transformation consulting, including client advisory, executive workshops, solution design, pre-sales, proposal development, delivery oversight, and engagement leadership. Builds data modernization, governance, BI, and AI programs while managing senior client relationships, cross-functional teams, budgets, risks, and follow-on opportunities. Contributes to thought leadership, practice development, mentoring, and growth in the insurance market.

Supports corporate governance, board and committee administration, SEC and Section 16 filings, subsidiary records, equity plan administration, insider trading processes, and corporate insurance. The role also assists with litigation, investigations, legal holds, discovery, corporate projects, governance research, and stakeholder coordination. It requires strong organization, drafting, communication, discretion, and experience supporting corporate secretary functions, boards, public-company compliance, and equity programs.

Supports business analysis activities by gathering and documenting requirements, analyzing business processes, performing basic data analysis, and collaborating with senior analysts and project teams. The role develops foundational business analysis skills and applies analytical techniques to support business requirements and process documentation.

Leads recruiting for the Data Management organization by partnering with business leaders, sourcing and assessing candidates, managing recruiters and sourcers, tracking hiring metrics, ensuring regulatory compliance, and delivering a strong candidate experience from outreach through onboarding.

Manage the full CRM marketing lifecycle, including strategy, audience segmentation, campaign execution, QA, deployment, testing, measurement, and optimization across email, SMS, and push channels. Develop personalized campaigns using customer data, machine learning, predictive modeling, and automation tools. Optimize lifecycle journeys, analyze performance, improve conversion and fan lifetime value, and collaborate with marketing, analytics, technology, product, agencies, and vendors.

Leads growth across large U.S. banking accounts by developing executive relationships, expanding client penetration, originating opportunities, and shaping consulting and transformation solutions. Partners with account, solution, and delivery teams to position data, analytics, AI, and operations capabilities. Responsibilities include strategic account planning, executive engagement, business case development, proposal support, market intelligence, thought leadership, and industry representation.

Leads market-facing pre-sales and solutioning for Finance AI offerings across Accounts Payable, Accounts Receivable, and Record-to-Report. Owns pipeline, forecasting, executive CFO-organizational engagement, discovery, business cases, proof-of-concepts, proposals, RFPs, and deal shaping. Represents the company through thought leadership and industry engagement while translating AI capabilities into measurable finance outcomes.

Leads new-logo sales for data management, analytics, AI, and cloud services across a U.S. territory. Responsibilities include pipeline development, alliance-driven go-to-market initiatives, complex opportunity qualification, sales presentations, proposal and oral preparation, solution positioning, and executive client engagement. The role shapes data and AI pursuits, supports market offering development, builds account plans, and mentors others while traveling up to 70%.

Develop and remediate Java backend applications for Oracle database and JDBC driver upgrades. Responsibilities include updating code, dependencies, configurations, and connection settings; troubleshooting connectivity, SQL, transactions, performance, and compatibility issues; conducting testing; validating REST APIs; supporting deployments and production stabilization; and coordinating with DBA, DevOps, QA, infrastructure, security, application, and client teams.