Data Engineer

• Design, develop, and maintain scalable, high-quality data models in a centralized data warehouse (primary focus)
• Translate business requirements into well-structured, reusable data models that support analytics and downstream applications
• Define and enforce data modeling standards, naming conventions, and best practices across domains
• Lead and contribute to data standardization initiatives to ensure consistency and interoperability of data assets
• Build and maintain data pipelines that support and operationalize data models (ingestion, transformation, and delivery)
• Develop pipelines that transform raw data into clean, well-modeled, analytics-ready datasets
• Collaborate with Product, Engineering, and Program teams to deliver end-to-end data solutions (models + pipelines)
• Optimize data models and pipelines for performance, scalability, and cost efficiency
• Implement processes for data validation, quality monitoring, and reliability
• Write high-quality, testable code; adopt TDD and contribute to engineering documentation and best practices
• Perform root cause analysis on data and pipeline issues to improve system robustness

Lead Data Engineer – Data Modeler

Vice President

• Oversee solution architecture at an organizational level.
• Lead high-impact architecture initiatives.
• Ensure alignment of architecture practices with organizational goals.
• Provide executive-level strategic guidance.

Assistant Vice President

• Lead end-to-end delivery across life and annuities operations (new business, policy admin, claims, etc.) with a continuous focus on efficiency, quality, and scalability.
• Define and execute operational strategies aligned with client expectations and future-state process innovation goals.
• Partner with global leadership to deploy automation, AI/ML tools, and digital accelerators across high-impact workflows (e.g., straight-through processing, claims triage, customer query automation).
• Champion the implementation of digital solutions (RPA, AI chatbots, cognitive document processing, etc.) to modernize service delivery and reduce turnaround times.
• Drive AI enablement in teams, fostering a culture of data fluency, predictive analytics usage, and continuous innovation.
• Partner with internal tech teams and external vendors to identify, pilot, and scale next-gen technologies that support business KPIs.
• Own senior-level client relationships and steer digital transformation roadmaps with measurable outcomes.
• Conduct quarterly business reviews (QBRs) and innovation showcases to reinforce value delivered through digitization and automation.
• Ensure compliance with global and local insurance regulatory bodies.
• Build and lead a high-performing leadership bench that embraces digital-first thinking.
• Provide strategic coaching to operations managers and train teams on using AI-enhanced tools effectively.
• Manage the P&L for the account, balancing efficiency from automation with workforce investments.

Vice President – Business Leader, Leadership and Management

Software Engineer

• Develop and manage small product development projects.
• Ensure documentation and product development standards are adhered to.
• Develop and deliver training sessions on product development best practices.
• Provide feedback and support to junior team members.

Assistant Manager – Developer

Architect

• Lead digital product ownership efforts across multiple teams.
• Drive strategic initiatives to enhance digital product ownership practices.
• Represent the digital product ownership team in executive meetings.
• Develop long-term plans for digital product ownership.

Senior Manager, Architect

QA Engineer

• Manage small projects within the business analytics PMO.
• Ensure documentation and reporting standards are adhered to.
• Develop and deliver training sessions on project management best practices.
• Provide feedback and support to junior team members.

SAS Viya, SDA & QA

Procurement

• Partner with client Procurement, AP, Finance, and Legal to validate contract-to-PO and invoice compliance versus pricing, rebates/discounts, and SLA terms.
• Identify value leakage and overbilling patterns (rate/UOM errors, missed discounts, unauthorized changes, non-compliant billing, missed SLA credits).
• Mentor Managers and Analysts and build playbooks for compliance, recovery, and governance.
• Validate system-identified exceptions; recommend escalation paths and recovery actions.
• Quantify opportunities, track recoveries to closure, document root causes and corrective actions, monitor and report leakage trends
• Translate contract structures, pricing, and SLAs into clear, testable business rules; communicate findings to executive stakeholders.
• Aligning findings with governance, controls, and documentation standards in partnership with Finance and Legal.
• Help with the continuous improvement of EXL product.

Procurement Specialist, Post Payment Vendor Audit & Recoveries

Marketing

• Lead client-facing direct marketing strategy across acquisition, lifecycle, and retention, turning insights into clear plans and priorities.
• Own targeting/segmentation, test-and-learn, and performance optimization (lift, CAC, LTV, ROI) in partnership with analytics and channel teams.
• Translate analytical findings into executive-ready narratives, presentations, and dashboards.
• Influence decisions by linking performance insights to business goals, customer needs, and market context.
• Build trusted-advisor relationships with client stakeholders and lead key working sessions and reviews.
• Manage and mentor team members, ensuring analytical rigor and strong strategic thinking in deliverables.

Analytics Engagement Manager – Direct Marketing

• Design, develop, and maintain scalable data solutions using Microsoft Fabric
• Build and manage data ingestion and transformation pipelines using Fabric Pipelines and Dataflows Gen2
• Develop ETL/ELT processes using PySpark, Spark SQL, and SQL
• Implement and support Lakehouse and Data Warehouse solutions
• Design and maintain medallion architecture (Bronze/Silver/Gold layers)
• Create and optimize semantic models for Microsoft Power BI reporting and analytics
• Support Direct Lake and other Fabric analytical capabilities
• Monitor production jobs, troubleshoot failures, and perform root cause analysis

Fabric Data Engineer

Auditor

• Conducts insurance policy audits for Worker’s Compensation, Auto and General Liability policies
• Audits the policyholder’s records according to client company standards
• Schedules appointments with the insured to be audited
• Obtains necessary documentation for audits while adhering to customer requirements and quality standards

Premium Insurance Auditor

Analyst

• Manage operational delivery and stakeholder relationships for assigned clients.
• Provide specialized consulting advice based on engagement requirements and support executive-level decision-making.

• Apply clinical judgment for DRG audits to ensure accuracy of inpatient DRG coding
• Responsible for reviewing the accuracy and consistency of clinical DRG auditing auditors to ensure audits are appropriately marked for findings and no findings
• Mentor Clinical DRG auditors
• Recommend process changes to improve quality and performance
• Communicate with peers and management
• Provide root cause analysis on errors
• Perform other duties as assigned
• Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs

Quality Analyst IV – Diagnosis-Related Group, Healthcare

Account Manager

• The Client Partner role focuses on client engagements, and growth within EXL’s banking accounts.
• You will lead client engagements, manage end-to-end sales cycles, and deliver operational excellence.
• The role requires a deep understanding of the banking domain, proven experience in delivering large projects and the ability to build strong relationships with senior stakeholders.

AVP – Account Manager, Banking and Payments

• Ownership of Growth, Client engagement, NPS, Profitability across a portfolio of banking clients
• Bring a deep understanding of the current marketplace and competitor offerings to drive the organization’s growth strategy and investments
• Partner with clients to develop transformation agenda and value creation
• Manage proposals with full ownership and accountability for the opportunity
• Provide complete ownership and accountability for managing competitive proposals, and working closely with sales enablement teams to ensure high quality of proposals
• Ensure optimal deployment of resources to achieve business goals
• Create and execute strategic account plans to maximize revenue and profitability by driving cross-sell, pace of volume ramps, time to proficiency and client satisfaction
• Develop C-level and cross-functional contacts and touchpoints in the client organization through regular objective-based interaction forums and review governance cadence
• Scout and scope new opportunities within the account by participating in client’s review meetings – identify problem statements and map EXL services and products to develop customized solutions
• Mentor teams for seamless delivery and transformation

Senior Account Manager – Banking and Payments

• Build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI.
• Work closely with data architects, business stakeholders and analysts to develop reliable data solutions and ensure high-quality data is available across the organization.
• Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
• Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
• Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members.
• Prepare and maintain project documentation to support project execution and delivery.