Data Engineer

• Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
• Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
• Drive data migration and modernization efforts from legacy environments to cloud-native platforms
• Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
• Establish and enforce data engineering standards, coding best practices, and pipeline documentation
• Provide hands-on troubleshooting and performance optimization across the data stack
• Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery
• Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables
• Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams
• Communicate project progress, risks, and dependencies to project managers and client stakeholders
• Mentor junior engineers and conduct code reviews to uphold quality standards
• Collaborate with data architects, analysts, and QA teams throughout the project lifecycle

Lead Data Engineer

Analyst

• Apply clinical judgment for DRG audits to ensure accuracy of inpatient DRG coding
• Review the accuracy and consistency of clinical DRG auditors
• Ensure audits are appropriately marked for findings and no findings
• Mentor Clinical DRG auditors
• Identify audit trends and referrals for DRG coding review
• Provide root cause analysis on errors
• Use industry and EXL proprietary tools in the DRG assignment process
• Write professional communications documenting audit findings and supporting rationales
• Recommend process changes to improve quality and performance
• Communicate with peers and management
• Perform other duties as assigned
• Follow company Compliance, Information Security, and Regulatory policies, procedures, and programs

Quality Analyst – Clinical Validation Audit

• Define and implement enterprise data architecture strategy aligned with business objectives
• Design scalable, secure, and high-performing data platforms for analytics, reporting, AI/ML, and operational workloads
• Develop conceptual, logical, and physical data models for enterprise applications
• Architect enterprise data warehouses, data lakes, lakehouses, and modern data platforms
• Establish data governance, metadata management, data quality, and master data management frameworks
• Lead data integration and ETL/ELT architecture across multiple systems
• Define data management standards, best practices, and architectural guidelines
• Collaborate with business leaders, enterprise architects, and technology teams on data transformation initiatives
• Evaluate emerging technologies and recommend data solutions
• Provide technical leadership and mentorship to data engineering and analytics teams
• Ensure compliance with security, privacy, and regulatory requirements
• Lead enterprise data architecture discussions and governance forums
• Drive architecture reviews and design approvals
• Support pre-sales activities, solution proposals, and technical estimations
• Engage executive stakeholders to define long-term data strategies
• Establish reusable architecture standards and frameworks across projects

Assistant Vice President – Data Architect

Auditor

• Performs clinical validation audits and interpretation of medical documentation to ensure capture of all relevant coding
• Follows every aspect of SOP without fail
• Completes received audits with quality
• Achieves quality and production targets
• Follows project-related protocols and instructions
• Escalates issues and identifies trends
• Updates productivity, clarification, and other applicable logs daily
• Checks with Manager/TL regarding clarifications
• Answers all emails from Manager promptly
• Ensures team compliance with HIPAA and OIG requirements

Senior Coding Auditor

Manager

• Lead the Product Development Team in executing and delivering highly complex healthcare projects for the US market
• Provide strategic oversight and manage resources
• Ensure project deliverables meet high quality standards
• Drive innovation and continuous improvement initiatives
• Maintain effective communication with stakeholders, including senior leadership
• Oversee project timelines and manage daily operations
• Ensure compliance with healthcare regulations
• Coordinate with cross-functional teams
• Handle project documentation
• Support high-level decision-making processes
• Monitor project progress and report key performance indicators to senior management
• Mentor junior team members, assistant managers, and managers

Senior Manager

Vice President

• Oversee the strategic direction and execution of product development initiatives
• Lead the product development lifecycle from ideation to launch
• Ensure timely and high-quality delivery
• Manage and mentor product managers, designers, and engineers
• Foster a collaborative and innovative environment
• Conduct strategic planning and market analysis
• Manage stakeholders to drive product vision and roadmap
• Ensure compliance with regulatory standards
• Identify opportunities for product improvement and innovation
• Collaborate with senior leadership to align product strategies with business goals and market demands

Assistant Vice President

• Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
• Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
• Drive data migration and modernization efforts from legacy environments to cloud-native platforms
• Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
• Establish and enforce data engineering standards, coding best practices, and pipeline documentation
• Provide hands-on troubleshooting and performance optimization across the data stack

Senior Data Engineer

• Develop, design, and format professional PowerPoint presentations for senior leadership, board meetings, and client engagements
• Translate data, ideas, and strategic messages into clear, concise, and visually engaging slides
• Collaborate with executives, stakeholders, and cross-functional teams to gather content and understand presentation objectives
• Ensure consistency in branding, formatting, and messaging across all presentations
• Create charts, graphs, infographics, and visual elements to enhance storytelling
• Edit and refine content for clarity, grammar, and executive-level communication standards
• Manage multiple presentation requests under tight deadlines while maintaining high quality
• Maintain and update slide libraries, templates, and design assets
• Provide recommendations on presentation structure and messaging to improve impact

Presentation Analyst

• Lead end-to-end healthcare quality operations for clinical, coding, third-party liability, and operational audits
• Lead Quality Managers and their teams, providing guidance, mentorship, and coaching
• Oversee operational quality performance against KPIs, SLAs, and quality standards
• Manage capacity planning, productivity, and workload distribution within the quality team
• Develop and oversee quality audit methodologies, scoring frameworks, and governance protocols
• Identify process risks and implement improvements using audit data and trend analysis
• Lead quality readiness for new programs, clients, and rapid growth
• Drive continuous improvement through root cause analysis, data analytics, and process evaluation
• Lead automation and efficiency initiatives with Technology
• Design and oversee scalable, repeatable quality processes
• Partner with global quality leaders, Operations, Training, and Technology
• Lead change management initiatives and strategic quality projects
• Track KPIs and performance metrics and deliver insight-driven reporting to senior leadership and stakeholders
• Establish and maintain SOPs, governance frameworks, and documentation

Assistant Vice President – Quality, Payment Integrity, Healthcare

Machine Learning Engineer

• Develop and implement advanced ML and DL models
• Apply NLP techniques for OCR-based text extraction, document classification, and document summarization
• Work on large language models (LLMs) and Gen-AI projects
• Utilize AWS SageMaker and Databricks for model development and deployment
• Conduct data pre-processing, exploratory data analysis (EDA), and model evaluation
• Collaborate with cross-functional teams to integrate AI/ML solutions into business processes

AI/ML Engineer

Business Analyst

• Review and interpret complex Impala SQL queries written by business stakeholders and translate them into clear business requirements and agile user stories for the Spark development team
• Facilitate requirements-gathering sessions with business clients to surface data needs, KPIs, and reporting goals
• Partner with Spark engineers throughout development to ensure delivered solutions match original business intent
• Lead analytics processes across multiple business units, determining the optimal analytical approach for each problem
• Consult with clients on BI tool strategy, data quality, and analytical solution development

Technical Business Analyst

Solutions Engineer

• Design, develop, and deploy interactive Power BI dashboards and reports
• Translate business requirements into visualizations and KPIs
• Create executive, operational, and analytical reporting solutions
• Develop drill-through, drill-down, and self-service BI capabilities
• Build scalable star and snowflake schema data models
• Develop complex DAX measures, calculated columns, and KPIs
• Perform data transformation using Power Query (M Language)
• Integrate data from SQL databases, cloud platforms, APIs, and flat files
• Manage Power BI Service workspaces, datasets, gateways, and refresh schedules
• Implement row-level security and governance standards
• Monitor report performance and optimize dataset refreshes
• Support deployment pipelines and release management
• Collaborate with stakeholders to define KPIs and reporting requirements
• Deliver actionable insights through data storytelling and visualization best practices
• Perform data validation and quality assurance across reporting solutions
• Conduct regular system audits to ensure compliance with established standards and protocols

Business Solution Architect

Artificial Intelligence

• Lead AI and ML development initiatives
• Manage teams and drive innovation in machine learning models and algorithms
• Lead the AI/ML development process
• Design algorithms
• Mentor engineers
• Deploy AI solutions

AI & ML Development Lead – Application Development

• Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation
• Build and maintain robust data pipelines using AWS cloud services
• Partner with Business Intelligence, AI/ML, and Infrastructure teams to deliver reliable and scalable data platform solutions
• Develop efficient SQL queries and Python scripts for data processing, automation, and analytics
• Create and maintain technical documentation, including solution designs, data flow diagrams, and operational guides
• Develop unit tests and perform code reviews
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability
• Work on multiple projects simultaneously while managing priorities in a fast-paced environment
• Follow coding standards, best practices, and data governance guidelines

AWS Data Engineer

• Lead resolution of complex/escalated P1/P2 incidents; own RCA documentation and corrective action plans, correlating Genesys Cloud audit logs, Datadog APM traces, and SIP/media path diagnostics
• Design and review complex Genesys Cloud CX changes, including multi-branch Architect flows, Data Actions integrations, Bot Connector/Digital Bot Flows, and custom API-driven automation
• Own advanced telephony troubleshooting, including SIP trunk failures, WebRTC media issues, Genesys Cloud Edge/media bridge configuration, and carrier-level escalations
• Act as technical escalation point for L2 and provide deep-dive support on Platform API, Notifications API, and OAuth client configuration issues
• Own CAB submission and technical review for Genesys-related RFCs, including risk/impact assessment for Architect flow changes
• Partner with Genesys Care on complex OEM-level defects and platform-level bugs, including log bundle preparation and reproduction
• Support DR/BC testing and validate the Genesys-to-Snowflake ingestion pipeline for data completeness and latency
• Drive configuration-as-code practices using the Genesys Cloud Terraform provider/CLI and contribute to KEDB
• Apply SRE principles by defining and tracking SLIs/SLOs and error budgets, reducing toil through automation and self-healing runbooks
• Build monitoring-as-code and Datadog alerting rules to reduce alert noise and improve MTTD
• Lead blameless postmortems for P1/P2 incidents and drive systemic reliability fixes
• Support capacity planning and load/failover testing ahead of peak volume periods
• Mentor L2 team members on Architect design patterns and API-based diagnostics