Technical Program Manager

• Establish the governance operating model, including council cadences, RACI matrices, decision rights, escalation protocols, and mandatory compliance checkpoints
• Maintain program-level risk registers and drive Architecture Review Board and Security Review Board submissions
• Produce governance KPI dashboards, executive status reports, and compliance scorecards
• Coordinate compliance, including Privacy Impact Assessments, regulatory change tracking, encryption compliance, vendor security assessments, and DPA reviews
• Partner with Data Stewards on data quality, lineage, retention, disposal, consent workflows, SLAs, and data processing records
• Own end-to-end delivery for multi-workstream data initiatives, including critical path analysis, dependency mapping, and resource allocation
• Design masking, tokenization, and anonymization pipelines for production environments
• Enforce governance through CloudFormation/Terraform with security review
• Facilitate alignment across Engineering, Security, Legal, Privacy, Compliance, and Business stakeholders
• Drive operational readiness through runbooks, incident management, and production readiness reviews
• Coordinate engineering changes and post-deployment validation
• Lead Clean Rooms program execution, partner onboarding, privacy-preserving collaboration design, analysis rule governance, and cross-organization data-sharing compliance

Pre-sales Engineer

• Build and manage a healthy funnel of AP, AR, and R2R opportunities
• Work with account teams and industry leaders to identify where EXL's Finance AI solutions can land and expand
• Track deal progress, flag risks, and escalate or pivot when needed
• Lead client conversations with VP, Controller, and CFO stakeholders
• Translate AI capabilities into measurable business value such as cycle time, working capital, exception rates, and straight-through processing
• Build relationships that turn first engagements into long-term partnerships
• Lead deal scoping and structuring, including defining problems, solutions, and success criteria
• Run discovery sessions and build business cases
• Architect credible and deliverable proof-of-concepts
• Present EXL responses to RFIs and RFPs in the Finance AI space
• Represent EXL at industry events and analyst conversations with Gartner, Everest, and ISG
• Produce point-of-view papers and lead client workshops
• Position EXL as a provider of AI-powered P2P, O2C, and R2R transformation

VP – Pre-Sales, AI Solutions

Platform Engineer

• Architect and implement highly available cloud solutions using AWS services including EC2, EKS, Lambda, API Gateway, VPC, IAM, Redshift, and Glue
• Define cloud architecture standards, best practices, and governance aligned with AWS Well-Architected principles
• Drive Infrastructure-as-Code adoption using Terraform or AWS CDK with reusable and modular designs
• Define and manage CI/CD strategies, including multi-environment deployments, automated testing, and rollback mechanisms
• Design secure cloud environments covering IAM, network security, encryption, secrets management, and compliance
• Collaborate with data engineering teams to build platforms using AWS Glue, Databricks, Redshift, and DynamoDB
• Implement observability frameworks for monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, Datadog, or ELK
• Optimize cloud environments for performance, scalability, reliability, and cost using FinOps practices
• Lead client discussions, translate business requirements into architecture solutions, and provide strategic guidance
• Guide engineering teams to follow architectural standards and DevOps best practices
• Support multi-account cloud strategies using AWS Organizations, Control Tower, or Landing Zone patterns

Platform Engineer – Databricks, Cloud

Sales

• Own end-to-end pipeline tracking across the Insurance business unit, including new logos, named accounts, large deals, and strategic accounts
• Ensure pipeline data accuracy and timeliness in Salesforce (SFDC)
• Create, maintain, and enhance SFDC dashboards
• Flag pipeline risks, stalled opportunities, and relevant opportunities to stakeholders
• Publish pipeline insights and deal-prioritization views for business-unit leads, Client Executives, and Growth Office leadership
• Track and report pipeline-related OKR targets with variance analysis and trend commentary
• Prepare and facilitate monthly and quarterly pipeline reviews, business reviews, and growth calls
• Own agendas, pre-reads, action trackers, and follow-through for leadership reviews
• Support bi-monthly leadership reviews and coordinate cross-functional inputs
• Track open actions to closure and proactively escalate blockers
• Track Executive Engagement activities and report client relationship health and engagement cadence
• Create operating processes and rhythms for strategic initiatives and resolve bottlenecks
• Educate and guide sales teams on pipeline hygiene standards and SFDC best practices
• Support business case creation, editing, and upkeep for key deals and strategic pursuits
• Provide market research and synthesize competitive intelligence
• Support the annual Customer Satisfaction Survey by structuring data, identifying themes, and preparing executive-ready summaries
• Create and refine presentations for internal leadership audiences
• Extract, clean, and analyze sales pipeline data for reporting
• Coordinate with sales leadership on project timelines and deliverables
• Present findings to large groups and provide strategic recommendations
• Support sales change-management initiatives and act as backup for the immediate leader

Assistant Manager – Sales Analytics

Full-stack Engineer

• Design, develop, and maintain scalable, high-performance web applications using React for frontend and Java/Spring Boot for backend services
• Build secure REST APIs, optimize database design and queries, and ensure application performance, scalability, and reliability
• Collaborate with Product, Design, QA, and DevOps teams to deliver high-quality, production-ready features
• Drive technical design discussions, perform code reviews, troubleshoot production issues, and mentor junior engineers if needed
• Leverage AI-assisted development tools to improve development efficiency, code quality, testing, and documentation

Full Stack Engineer

Vice President

• Serve as the primary delivery leader and strategic partner to the client’s CX, digital, and technology leadership teams
• Build trusted advisor relationships at executive and operational levels
• Lead business and technical discussions to shape roadmap, solution direction, and delivery approach
• Align partner, customer, and ecosystem vendors around a unified delivery model
• Lead execution of a multi-workstream, multi-vendor CX transformation program
• Own program governance, including steering committee leadership, RAID management, milestones, resource planning, and commercial oversight
• Maintain PMO disciplines including dependency mapping, financial tracking, change control, and delivery-standard compliance
• Own full program P&L, revenue forecasting, cost management, and gross margin optimization
• Partner with sales, finance, and practice leaders on engagement commercial health
• Lead contract change management, SoW governance, and margin protection strategies
• Oversee architecture, build, and deployment of advanced CX solutions
• Ensure integrations across AI, CCaaS, middleware, and Salesforce Service Cloud
• Drive technical assurance, best-practice architecture, and production-ready deployments
• Lead multidisciplinary Professional Services teams across architecture, engineering, QA, PMO, and operations
• Collaborate with internal practices, subcontractors, and customer teams
• Mentor delivery teams and uphold accountability, innovation, and delivery excellence
• Ensure scalability, robustness, and adoption within the customer environment
• Track KPIs, SLAs, financials, and operational performance
• Drive continuous improvement, risk mitigation, and customer success outcomes

CX Transformation, Program Delivery Lead – VP

Auditor

• Follow every aspect of SOP without fail
• Complete received audits with quality
• Achieve quality and production targets
• Follow project-related protocols and instructions
• Escalate issues and identify trends
• Update productivity, clarification, and other applicable logs daily
• Check with the Manager/Team Lead regarding clarifications
• Respond promptly to all Manager emails
• Apply problem-solving skills
• Ensure entire-team compliance with HIPAA and OIG requirements
• Perform surgery coding for multi-specialty outpatient cases, including IVR and General Surgery
• Attend mandatory in-office training

Senior Coding Auditor

• Define, implement, and enforce enterprise data governance policies, standards, and procedures
• Act as the owner and custodian of critical business data domains
• Establish data stewardship processes and operating models across business functions
• Collaborate with Data Owners, Data Custodians, and business stakeholders to improve data management practices
• Monitor, measure, and improve data quality using predefined KPIs and metrics
• Identify data quality issues, perform root cause analysis, and drive remediation efforts
• Define data quality rules, controls, and validation mechanisms
• Implement continuous monitoring processes for critical data assets
• Maintain business glossaries, data dictionaries, and metadata repositories
• Ensure proper classification, lineage, and documentation of enterprise data assets
• Promote adoption of data catalog platforms across business teams
• Support compliance initiatives related to GDPR, CCPA, HIPAA, SOX, and other regulatory requirements
• Ensure data privacy, security, and retention policies are followed
• Conduct regular audits and assessments of data governance processes
• Partner with business users, data architects, data engineers, analytics teams, and leadership
• Facilitate governance councils and working groups
• Drive awareness and training programs related to data governance and stewardship
• Develop governance dashboards and reports for executive stakeholders
• Track governance maturity, data quality scores, and stewardship effectiveness
• Present governance insights and recommendations to leadership teams

Assistant Vice President

Executive

• Review and identify different types of US legal documents and claim documents
• Ensure transactions are processed according to Desk Top procedures
• Review documents and validate numbers
• Achieve individual productivity and quality goals
• Participate in training initiatives to develop knowledge
• Integrate procedural changes into daily routine

Senior Claim P&C Executive

Manager

• Design, develop, and implement statistical and machine learning models for fraud detection and prevention
• Analyze large datasets to identify fraud patterns, anomalies, and emerging threats
• Monitor model performance, recalibrate thresholds, and recommend improvements
• Collaborate with cross-functional teams to integrate models into operational systems
• Prepare detailed reports and dashboards for stakeholders on fraud trends and model effectiveness
• Ensure compliance with regulatory and data governance standards
• Develop, enhance, and maintain fraud detection models to identify and mitigate fraudulent activities across various channels
• Work closely with data science, risk, and operations teams to ensure models are accurate, scalable, and aligned with business objectives

Cloud Engineer

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT
• Build and maintain data integration workflows from various data sources to Snowflake
• Write efficient and optimized SQL queries for data extraction and transformation
• Work with stakeholders to understand business requirements and translate them into technical solutions
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability
• Maintain and enforce data quality, governance, and documentation standards
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment

Lead Data Engineer, Azure

Business Intelligence Developer

• Design, develop, and maintain interactive dashboards, scorecards, and reports using Power BI and Tableau
• Build and optimize Power BI semantic models and Tableau data sources for business reporting and analytics
• Develop advanced DAX measures and Power Query transformations for data preparation and analysis
• Troubleshoot and resolve data model, report performance, and data quality issues
• Design and maintain dimensional data models including fact and dimension tables
• Analyze business data to identify trends, patterns, anomalies, and performance improvement opportunities
• Develop KPI frameworks, metric definitions, and executive reporting dashboards
• Create visualizations and data stories supporting business decision-making
• Support self-service analytics by creating reusable datasets and governed reporting assets
• Collaborate with data engineering teams to ensure data is accurate, complete, and analytics-ready
• Participate in BI deployments, report migrations, and environment management activities
• Document BI solutions, data models, reporting processes, and business definitions

BI Developer

AI Engineer

• Lead the development of scalable, efficient AI systems and architectures aligned with business goals
• Develop and maintain advanced Python-based Generative AI applications with high performance, reliability, and scalability
• Implement and optimize Generative AI models including GPT, LLAMA, Mistral, and FLAN T5
• Develop advanced RAG pipelines with embeddings, indexing, chunking, reranking, prompts, and evaluation
• Create innovative solutions and knowledge graphs
• Integrate AI functionalities into broader systems and applications with cross-functional teams
• Use AWS, Azure, and Databricks GPU machines to manage GPU memory and maximize performance
• Stay updated on Generative AI, Python development practices, and cloud services
• Assist delivery leads in delivering Generative AI solutions to clients, ensuring client satisfaction and project success
• Collaborate on projects and work independently when required

Senior AI Architect

Data Engineer

Azure Data Engineer

SDET

• Develop and implement test plans and cases
• Execute various types of testing
• Identify and document software defects
• Collaborate with development teams to resolve issues
• Generate test reports and provide feedback
• Monitor system performance
• Participate in design reviews
• Maintain and upgrade test environments
• Coordinate and conduct user acceptance testing