Jobs at EXL

Define enterprise data architecture strategy and roadmaps; design secure, scalable data warehouses, lakes, lakehouses, integrations, and cloud platforms. Lead data modeling, governance, metadata, quality, master data management, security, and compliance initiatives. Establish architecture standards, review designs, evaluate technologies, and guide data modernization and transformation programs. Provide technical leadership, mentorship, executive stakeholder engagement, and support for proposals and estimations.

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.

Designs, develops, and optimizes scalable data platforms, pipelines, ETL/ELT workflows, and Lakehouse architectures using Azure Databricks, Spark, and cloud services. Builds data models, quality and governance frameworks, integrations, and secure access controls. Optimizes workloads, supports streaming and analytics initiatives, troubleshoots pipelines, and contributes to CI/CD, DevOps, infrastructure automation, documentation, and technical leadership.

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.

Manage the full CRM marketing lifecycle, including strategy, audience segmentation, campaign execution, QA, deployment, testing, analytics, and optimization across email, SMS, and push channels. Develop personalized lifecycle campaigns using Adobe platforms, automation tools, machine learning, and predictive modeling. Collaborate with analytics, marketing, product, vendors, and agencies to improve engagement, conversion, and fan lifetime value.

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 wealth management growth within strategic banking accounts by developing executive relationships, identifying opportunities, expanding client footprint, and shaping consulting and transformation solutions involving data, analytics, AI, and operations. The role requires a strong Wealth Management network, consultative selling expertise, executive presence, and the ability to convert business priorities into revenue opportunities.

Develop and maintain Adobe Experience Manager components, templates, workflows, authoring tools, and integrations across Sites, Assets, and Forms. Ensure platform performance, stability, security, localization, multilingual support, and multi-site management. Troubleshoot issues, support international rollouts, collaborate with DevOps on deployments, contribute to architecture and coding standards, and provide technical guidance to junior developers and partners.

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.

Design, administer, secure, and optimize enterprise Databricks on AWS. Manage workspaces, clusters, Unity Catalog, CI/CD, IaC (Terraform), monitoring, cost optimization, governance, audits, and production support to enable data engineering, analytics, and AI teams.

Lead negotiation of complex sell-side technology agreements (MSAs, SOWs, SaaS, licensing); structure data use and licensing terms; advise business units on risk allocation, privacy, and security; manage and mentor commercial contracting attorneys; develop playbooks/templates; escalate and resolve high-stakes negotiations; partner cross-functionally to improve deal processes and contracting standards.

Lead transformation of consumer credit risk reporting: analyze portfolio performance and drivers of delinquency/loss, author risk narratives for senior stakeholders, manage end-to-end reporting automation with data engineering, validate automated outputs, prioritize builds, and own client engagement and delivery of the program.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Investigates insurance claims to identify subrogation opportunities, evaluates liability and policy terms, reviews evidence, negotiates settlements, and pursues recoveries from responsible parties. Maintains detailed claim records, communicates updates to clients and stakeholders, collaborates with legal and insurance professionals, handles complex files exceeding $15,000, and supports process improvement initiatives.

Leads healthcare clinical auditing operations, overseeing revenue and savings goals, workflow inventory, staffing, productivity, quality, training, client communications, and continuous improvement. Manages supervisors and clinical and non-clinical staff, addresses operational risks, supports client presentations and implementations, and ensures compliance with company policies and service-level agreements.

Leads DRG audit programs and directly supervises auditors conducting MS-DRG and APR-DRG reviews. Oversees workflows, inventory, aging, productivity, quality, SLAs, compliance, reporting, and client issue resolution. Partners with clinical, operational, analytics, product, and technology teams on implementations and process improvements. Requires registered nurse credentials, extensive DRG and coding expertise, knowledge of payer regulations, supervisory experience, and strong analytical and communication skills.

Schedule insurance appraisal appointments, contact policyholders through phone, SMS, and email, explain appraisal requirements, and build trust. Support homeowners with the ASSIST photo-capture app, resolve technical questions, maintain accurate work-order statuses, prioritize assignments, meet deadlines and productivity goals, and communicate unusual situations to management. This is a remote, work-from-home customer service role with training provided.

Manages DRG quality analysts and oversees MS-DRG and APR-DRG review programs. Ensures coding accuracy, reimbursement quality, regulatory compliance, productivity, and SLA achievement. Responsibilities include workflow and inventory management, coaching and performance management, trend reporting, audit quality improvement, implementation support, and coordination with technology, operations, training, clients, and global teams.