Jobs at EXL

Develop and support secure, scalable enterprise web applications across front-end and back-end technologies. Lead architecture, detailed design, testing, deployment, integration, and production support while mentoring small development teams. Translate business requirements into technical solutions, implement authentication and data protection, and collaborate with healthcare, IT, DevOps, and support stakeholders. The role requires strong Microsoft and open-source JavaScript stack expertise, Agile development experience, and familiarity with healthcare payer or provider systems.

Leads enterprise FP&A, forecasting, financial modeling, business intelligence, KPI reporting, risk identification, and investment evaluation. Builds three-statement models, DCF valuations, dashboards, and executive narratives while managing a reporting team. Partners with cross-functional and executive stakeholders to improve financial controls, identify performance trends, evaluate strategic opportunities, and guide capital allocation and margin expansion.

Manage end-to-end recruitment for volume and niche roles, including sourcing, resume screening, interviews, scheduling, feedback coordination, offer negotiation, pre-onboarding checks, onboarding, ATS maintenance, and recruitment reporting. Partner with business leaders to align hiring needs, improve hiring efficiency, maintain candidate experience, and close positions promptly.

Administer and support Ab Initio platforms across development, testing, UAT, and production environments. Responsibilities include installation, upgrades, EME administration, environment provisioning, resource monitoring, performance tuning, troubleshooting, security and compliance, disaster recovery, shell-script automation, release promotion, and infrastructure capacity forecasting. The role also supports ETL environments, relational databases, scheduling tools, and production operations.

Designs and deploys LLM-based generative AI solutions using Databricks and cloud platforms. Responsibilities include data engineering, RAG architecture, API and cloud integration, model performance tuning, analytics development, stakeholder management, and end-to-end project delivery. The role translates analytics into business solutions for healthcare-related clients and requires Python or R proficiency, client collaboration, and a bachelor’s degree in engineering, MCA, or a related field.

Conducts operational and healthcare analytics, prepares KPI reports, analyzes data, develops interactive visualizations, identifies efficiency improvements, and communicates actionable insights to stakeholders. Collaborates with analytics consultants, ensures data accuracy, supports healthcare analytics model optimization, and begins mentoring junior team members.

Manages production and non-production Oracle, SQL Server, and PostgreSQL databases in cloud and multi-tenant environments. Responsibilities include installation, configuration, monitoring, performance tuning, patching, upgrades, backup and recovery, mirroring, compliance, incident resolution, and automation using database and shell scripting. The role collaborates with application teams and vendors, supports large databases exceeding 50 TB, administers Oracle APEX, and participates in 24x7 on-call coverage.

Leads data mining strategies and a team analyzing healthcare claims to identify utilization patterns, anomalies, overpayments, and payment integrity issues. Applies CMS rules, reimbursement knowledge, claims adjudication expertise, and reverse engineering to investigate payment outcomes. Partners with analytics, product, strategy, and compliance teams to translate operational findings into scalable monitoring and detection solutions, validate results against claims realities, and communicate insights to technical and executive stakeholders.

Manage MIS reporting processes, generate recurring and ad-hoc reports, validate data accuracy, and create dashboards and visualizations. Provide data-driven insights, consolidate and track reports, collaborate with internal teams, and automate reporting workflows using advanced Excel, VBA, macros, and related techniques.

Designs, builds, and optimizes enterprise Databricks lakehouse platforms for financial crime applications, including AML, KYC, fraud detection, sanctions screening, transaction monitoring, and regulatory reporting. Responsibilities include workspace and cluster administration, Unity Catalog governance, Delta Lake architecture, Delta Live Tables pipelines, workflow orchestration, data quality, security, performance optimization, and cloud data integration.

Leads enterprise technology operations across service availability, infrastructure, security, resilience, incident management, business continuity, AI adoption, risk controls, budgets, vendors, and workforce planning. Owns operational governance, KPIs, investment priorities, audit readiness, and client-facing performance forums while building high-performing teams and driving automation, cost optimization, and measurable business value.

Leads, trains, and mentors staff to improve engagement and productivity. Monitors client service quality, addresses escalated client concerns, and resolves issues promptly to maintain client satisfaction.

Leads operational analytics projects from requirements gathering through analysis and presentation. Partners with stakeholders to align analytics with business objectives, develops data-driven strategies, recommends process improvements, and delivers actionable insights. Uses SQL, Python, Access, Excel, reporting tools, statistical modeling, and data warehousing concepts to support business growth and efficiency across concurrent projects.

Transforms operational and financial data into actionable insights through SQL analysis, MIS reporting, Power BI dashboards, KPI tracking, forecasting, automation, and process improvement. The role validates data, supports workforce planning, identifies performance trends and risks, develops management reports, and collaborates with operational teams to deliver decision-support solutions.

Leads lead-generation strategy execution, campaign optimization, presales support, RFP solution development, sales presentations, and cross-functional project reporting. Builds dashboards and leadership reports, tracks project timelines and budgets, supports solution selling, and develops proposals, demos, videos, and supporting materials. Requires experience with MDM, campaign databases, reporting, dashboard creation, lead extraction automation, secondary research, stakeholder management, and healthcare technology or related domains.

Develops and maintains complex T-SQL queries, views, stored procedures, and ETL workflows. Optimizes SQL performance through code improvements and indexing. Works with data warehouses, star and snowflake schemas, healthcare datasets, statistical analysis, reporting, and visualization tools such as SSRS, Tableau, and Power BI. Translates business needs into practical data applications, presents findings, and collaborates across projects in a fast-paced team environment.

Design, develop, and optimize data pipelines using PySpark and SQL; manage Snowflake data warehouses; process large-scale data through the Hadoop ecosystem; and ensure data quality, governance, performance, and reliability. The role also automates workflows, uses ETL and orchestration tools, and collaborates with data scientists, analysts, and business stakeholders.

Develop Oracle SQL queries and client reports, perform data analysis, cleaning, structuring, and visualization, and support analytical models. Gather requirements, implement solutions, maintain backend data, conduct code reviews and quality checks, document processes, coordinate with clients, and deliver reports. The role requires strong analytical and aggregate SQL functions, communication, independent work, teamwork, adaptability, and process adherence.

Designs, develops, tests, deploys, and maintains enterprise business intelligence reports, dashboards, data warehouses, and ETL solutions. The role uses SQL Server, SSIS, Power BI, Azure services, and Tableau to support healthcare payer analytics. Responsibilities include data modeling, query tuning, report testing, documentation, requirements analysis, solution design, stakeholder communication, end-to-end delivery, mentoring, and collaboration on product roadmaps and scalable features.

Manage MIS processes, consolidate recurring reports, build dashboards, automate reporting, and ensure data accuracy. Support PMO activities by coordinating project teams, maintaining documentation, tracking resources and open items, reporting status and risks, and improving processes. The role requires strong Excel, VBA, dashboarding, communication, organization, and multitasking skills, with a bachelor’s degree and 5–9 years of PMO or project coordination experience.