Cloud Engineer

• Lead high-performing teams delivering complex, multi-cloud solutions across AWS, Azure, and Google Cloud Platform
• Help shape and lead our evolution into an agentic AI-powered future
• Identify opportunities to transform how our teams design, deploy, operate, and optimize cloud infrastructure using AI agents and intelligent automation
• Serve as the senior technical authority for cloud architecture and infrastructure decisions
• Advance and mature our Infrastructure as Code practices ensuring consistency, security, and scalability
• Provide meaningful technical guidance and architectural direction to engineering teams
• Champion the adoption of AI agents and multi-agent systems

VP of Cloud Engineering, Operations – Delivery

Sales

• Drive Data & AI led growth strategies across strategic Healthcare Provider accounts, expanding footprint and unlocking new revenue opportunities across subsidiaries.
• Own new Healthcare Provider logo acquisition, originating, shaping, and closing large, complex deals by positioning integrated Data, Digital, and AI solutions.
• Lead end-to-end sales cycle from prospecting to closure, ensuring strong pipeline creation, disciplined execution, and consistent revenue growth.
• Deliver account growth through upsell and cross-sell of Data, AI and Global Delivery led solutions across Finance & Accounting, Contract Center, Revenue Cycle Management, Provider Analytics, Data Management and other services aligned to evolving client priorities.
• Build trusted CXO relationships and engage CIOs/CTOs with compelling, context-driven articulation of EXL’s Data & AI capabilities within the client’s technology landscape.
• Orchestrate cross-functional teams to design and deliver integrated solutions across Data, Analytics, AI, Digital, Finance & Accounting, Contract Center and Clinical Operations.
• Build and manage a high-quality pipeline with strong conversion discipline and predictable revenue realization.
• Drive revenue, pipeline, and profitability performance through strong financial tracking and account governance.

Vice President, Provider Sales – Hunter

• Drive Data & AI led growth strategies across strategic accounts
• Own new logo acquisition, originating, shaping, and closing large complex deals
• Lead end-to-end sales cycle from prospecting to closure
• Deliver account growth through upsell and cross-sell of Data & AI led solutions
• Build trusted CXO relationships and engage CIOs/CTOs with EXL’s Data & AI capabilities
• Orchestrate cross-functional teams to deliver integrated solutions
• Build and manage a high-quality pipeline with strong conversion discipline
• Drive revenue, pipeline, and profitability performance through strong financial tracking

VP Sales

Backend Engineer

• Design, develop, and maintain scalable backend services using Java and Spring Boot
• Build and support event-driven architectures leveraging Kafka
• Take end-to-end ownership of complex system components
• Make sound architectural and design decisions
• Implement and optimize caching solutions using Redis
• Perform performance tuning, bottleneck analysis, and optimization across services and data flows
• Ensure high code quality through clean design and best practices
• Debug, troubleshoot, and resolve production issues
• Collaborate effectively with cross-functional teams

Java Developer

Full-stack Engineer

• Lead the architecture, design, development, and deployment of full-stack applications.
• Manage and mentor a team of developers, ensuring adherence to engineering best practices.
• Collaborate with business stakeholders, data teams, and product owners to translate business requirements into technical solutions.
• Design and develop scalable APIs, microservices, and modern web applications.
• Leverage analytics and reporting solutions to generate actionable business insights.
• Drive data integration, transformation, and visualization initiatives.
• Ensure application performance, security, reliability, and maintainability.
• Participate in technical roadmap planning and solution architecture discussions.

Full Stack Developer

• Cultivating EXL's presence in the market and growing business development opportunities with new clients.
• Responsible for New Logo hunting and the sales cycle from deal origination to closure and successful handover to the Account Manager subsequently.
• Build a predictable pipeline of new business to generate repeatable and profitable revenues across the various Business Units.
• Execute go-to market plans via targeted campaigns and other sales channels including advisors, influencers, conference attendance, industry events, etc.
• Can effectively identify and translate client needs into the company service offerings.

VP New Business Consulting Sales – Hi-Tech Client Focus

Data Scientist

• Assist in analyzing data and developing data-driven insights
• Data collection, preprocessing, and basic statistical analysis
• Work under the guidance of senior data scientists to learn and apply data science techniques

Data Scientist – Associate

• Responsible for driving sales and revenue growth
• Help expand our footprint for existing clients in the Banking & Capital Markets (BCM) sector within Data and Technology domain
• Identify business opportunities, develop strategic relationships, and deliver tailored solutions to meet the unique needs of BCM industry companies in North America
• Cultivating EXL's presence in the market and growing business development opportunities with existing clients with whom the company has not had previous significant contact in the Data and Technology buying centers
• Closing deals with ACV > $2M and TCV > $10M selling Data/ tech services to Banking and Cap Market clients
• New Logo hunting and Data/ technology penetration in existing logos
• Lead generation and support in sales cycle driving closure (signed contract) and successful handover to the Account Manager

New Business Data Management Sales – Large Banking Client Focus

Events

• Lead short-cycle diagnostic and transformation initiatives across the fraud value chain — identifying pain points, quantifying impact opportunities, and developing executable roadmaps.
• Support sales and client pursuits by leading solution design, RFP/RFI responses, and development of differentiated value propositions.
• Drive end-to-end transformation programs leveraging analytics, AI-first frameworks, and automation to optimize fraud prevention, detection, and claims management.
• Conduct research and benchmarking to generate actionable insights on emerging fraud typologies, regulatory shifts, and best-in-class practices.
• Develop and continuously evolve knowledge assets including capability decks, frameworks, case studies etc. to strengthen the fraud offering.
• Evangelize fraud and disputes solutions by collaborating with delivery, digital, and analytics teams to embed innovation and enhance solution maturity.
• Identify performance bottlenecks and enable data-driven interventions to drive measurable outcomes in fraud savings, false positive reduction, and recovery rates.
• Build domain and analytics capability through structured training programs, certification paths, and knowledge transfer across global delivery teams.

Assistant Vice President – Risk Management, Fraud Prevention & Detection

Accounts Receivable

• Accounts Receivables - Business finance

Executive, Accounts Receivables

Insurance

• Engage with multiple stakeholders and client teams across diverse business functions to gain an in-depth understanding of the process value chain.
• Partner with teams across diverse business functions to translate business processes into process maps.
• Perform data and process analysis to identify improvement opportunities.
• Create tools and practices to ensure compliance with quality practices such as Six Sigma, business continuity and risk mitigation.
• Responsible for leading significant process improvement projects and ensuring compliance to quality standards.

Senior Quality Manager – Insurance

• Design, develop, and deploy scalable ML / AI solutions that enable natural language-driven automation, insights, and enterprise intelligence.
• Collaborate with UI/UX teams for AI-driven solution delivery

Recruitment

• Collaborate with hiring managers and department leaders to understand talent needs, job requirements, and team dynamics.
• Develop and execute recruitment strategies that align with organizational goals and market trends.
• Provide insights and recommendations to enhance the effectiveness of recruitment efforts.
• Utilise various sourcing methods, including job boards, social media, networking, referrals, and direct outreach, to identify and attract qualified candidates.
• Research and implement innovative sourcing techniques to tap into passive talent markets.
• Manage relationships with external recruitment agency partners.
• Review resumes, conduct initial phone screens, and evaluate candidates against job requirements.
• Assess candidates' cultural fit, technical skills, and motivation to join the organization.
• Champion diversity and inclusion efforts within the recruitment process, ensuring a diverse candidate pool and reducing bias in selection.
• Cultivate and maintain relationships with candidates to ensure a positive candidate experience throughout the recruitment process.
• Serve as a point of contact for candidates, addressing inquiries and providing timely updates on their application status.
• Partner with cross-functional teams across various geographies to align recruitment efforts with business objectives.
• Communicate effectively with hiring managers and stakeholders in different time zones, providing regular updates on candidate pipelines, challenges, and opportunities.
• Stay current with industry trends, market intelligence, and best practices in talent acquisition.
• Identify areas for process improvement within the recruitment lifecycle and propose solutions to streamline and enhance efficiency.
• Utilize the ATS to manage the end-to-end recruitment process, including job posting, candidate sourcing, screening, interviewing, and offer management.

Talent Acquisition Specialist

Analytics Engineer

• Assist in analyzing business processes
• Support development of business requirements
• Document analysis processes
• Perform basic data analysis
• Collaborate with senior analysts.

SAS ETL Developer

Data Engineer

• Lead script-level repointing across 593 downstream scripts (PySpark, BTEQ, Shell, SQL, IICS, SSIS) and 154 Databricks MLOps scripts from Teradata/SQL Server/Minio to Snowflake.
• Execute SQL syntax conversion for Teradata BTEQ scripts to Snowflake-compatible SQL, leveraging utility frameworks provided by the SI Partner (Infosys).
• Drive Airflow variable and connection updates across all migrated workflows, ensuring pipelines point to Snowflake endpoints post-cutover.
• Manage the script modification and change management process, coordinating production-to-parallel sync within the required 1-business-day SLA.
• Own the deployment and sign-off process for each migration wave, maintaining runbooks and go/no-go checklists per domain group.
• Manage data copy requests for Minio-related assets and coordinate initial load and incremental sync activities with the SI Partner.
• Lead and coordinate a team of 6–8 Data Engineer I and Data Engineer II resources (onshore and offshore) across parallel migration workstreams.
• Assign scripts per complexity band (S/M/L) to team members, track daily progress against the LOE estimates, and escalate blockers promptly.
• Review code changes, validate SQL conversion quality, and enforce engineering standards before submission to EBI team for review.
• Mentor junior engineers on Snowflake-specific constructs (virtual warehouses, stages, Snowpark, streams & tasks) and Teradata-to-Snowflake syntax differences.
• Conduct daily stand-ups and provide weekly migration status reports to the Program Manager and client stakeholders.
• Own the parallel run and reconciliation cycle — execute data validation against Teradata source and Snowflake target, targeting sign-off within 2–3 reconciliation iterations per workflow.
• Drive automation of unit testing and validation frameworks in collaboration with the SI Partner, tracking outcomes in the centralized validation dashboard.
• Triage and root-cause data mismatches, performance gaps, and pipeline failures during the parallel run phase; coordinate resolution with SI Partner support as needed.
• Ensure UAT sign-off from the EBI Data team on each domain group before scheduling production cutover.
• Conduct performance and load testing on migrated Snowflake workloads; incorporate SI Partner guidance on query optimization and warehouse sizing.
• Serve as the EXL technical point of contact with the EBI client team for the repointing workstream — attending daily syncs, steering calls, and design reviews.
• Coordinate with Infosys (SI Partner) on alignment of major SQL conversion utilities prior to team execution, ensuring conversion frameworks are available at program kick-off.
• Translate migration risks and data reconciliation issues into clear business-impact language for non-technical stakeholders.
• Maintain shared documentation: migration decision log, runbooks, issue trackers, and lessons learned repository.