Executive

• Review and analyze medical records and claims data to ensure accuracy, completeness, and compliance with healthcare regulations and payer requirements.
• Verify that all necessary clinical documentation is included to support claim submissions and medical necessity.
• Identify and resolve inconsistencies, errors, or missing documentation in patient records or claims.
• Prioritize and manage workloads to ensure expedited and high-priority cases are processed within defined timelines.
• Collaborate with healthcare providers, coders, and billing staff to obtain or clarify necessary information.
• Ensure compliance with HIPAA, CMS, and other regulatory guidelines related to medical record handling and claims processing.
• Prepare accurate reports and summaries of claim findings, trends, and potential process improvements.
• Support internal audits and quality assurance initiatives by providing detailed documentation and analytical insights.
• Maintain a strong understanding of healthcare terminology, coding standards (ICD, CPT, HCPCS), and insurance claim procedures.

Senior Executive – Claims Audit

Actuary

• Complete understanding of the current state of affairs and problem statement
• Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions
• Work on transformation/automation initiative.
• Build actuarial models for life insurance products.
• Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation.
• Excellent written and verbal communication skills

Sales

• Lead the design and implementation of B2B Marketing Use Cases around Customer Journey Optimization
• Collaborate with clients and stakeholders to translate business requirements into scalable technical solutions
• Drive marketing transformation initiatives using Salesforce Marketing Cloud and related tools
• Lead and mentor a team of 1-2 developers and consultants
• Design and implement customer segmentation strategies and targeted marketing campaigns
• Ensure best practices in solution design, data management, and system integration
• Provide technical leadership across Salesforce Einstein and Agentforce capabilities

Salesforce Marketing Cloud

Human Resources

• Partner with business leaders to shape HR strategies aligned to business needs
• Provide consultation to solve significant people and cultural issues
• Analyze HR data to recommend solutions to management
• Develop people strategies for organizational change and employee engagement

Senior Human Resource – Strategy Partner

• Executing reinsurance accounting activities including premium, claims, and commission processing
• Ensuring accuracy and compliance in financial reporting
• Supporting audits and stakeholder requirements

Senior Executive

Administration

• 8+ years of experience in SAS Administration with strong expertise in SAS Viya and SAS 9.4 platform administration, installation, configuration, upgrades, patching, and production support.
• Hands-on experience in SAS on-premises to cloud migration projects, including migration planning, architecture design, deployment, validation, and post-migration support on cloud platforms such as AWS.
• Extensive experience administering SAS Viya components, including CAS, SAS Environment Manager, Identity Management, Kubernetes/OpenShift, and performance tuning of distributed environments.
• Strong knowledge of SAS security administration, including LDAP/Active Directory integration, authentication, authorization, role-based access control, and compliance requirements.
• Experience managing and supporting high-availability, disaster recovery, backup, and platform resiliency solutions for enterprise SAS environments.
• Proven ability to troubleshoot and resolve complex platform, performance, connectivity, and infrastructure issues across Linux, cloud, database, and SAS application layers.
• Experience working with Banking and Financial Services domains, supporting regulatory reporting, risk management, data analytics, compliance, and enterprise data platforms.
• Strong understanding of database integrations with Oracle, SQL Server, PostgreSQL, Teradata, or Snowflake, and experience optimizing SAS-to-database workloads.
• Hands-on experience with automation and scripting using Shell, Python, or PowerShell to streamline administration, monitoring, deployment, and operational activities.
• Excellent stakeholder management, documentation, and leadership skills, with the ability to collaborate with infrastructure, cloud, security, and business teams while mentoring junior administrators.

Senior SAS Administrator

Analyst

Quality Analyst – Testing

Data Engineer

• Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases
• Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation
• Implement prompt engineering techniques (prompt templates, chaining, basic tool/function calling)
• Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit)
• Integrate AI solutions with enterprise systems, databases, and APIs
• Apply basic guardrails and validation checks to improve response quality and reduce hallucination
• Work with Data Engineering teams to ensure data quality, pipeline efficiency, and proper documentation
• Collaborate with MLOps teams for deployment, monitoring, and iterative improvements
• Document solutions, reusable components, and best practices

AI Data Engineer

• Monitor real-time queue performance, agent status, and service levels across lines of business**
• Identify and act on volume fluctuations, staffing gaps, and SLA risks in a timely manner**
• Perform intraday staffing adjustments including breaks, shifts, overtime (OT), and VTO**
• Reallocate resources and manage skill assignments based on business requirements**
• Track and analyze key performance metrics such as Service Level, AHT, Occupancy, and Adherence**
• Publish intraday reports and share real-time updates with stakeholders**
• Act as first point of escalation for operational issues and recommend mitigation actions**
• Ensure adherence to schedules and highlight any non-compliance or productivity gaps

Senior Executive – Real Time Analyst, RTA

Consultant

• Gather and document business requirements
• Translate requirements into BRDs/FRDs and user stories
• Engage stakeholders across business and technology
• Support credit risk strategy and policy implementation
• Perform process mapping and identify improvements
• Participate in Agile ceremonies and UAT support
• Maintain documentation and requirement traceability
• Conduct data analysis using Excel/SQL

Consultant II – BA, PM

DevOps Engineer

• Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP)
• Resolve infra, security, and data pipeline issues in real time
• Customize accelerators and agent workflows for client-specific needs
• Drive measurable value realization from Day 1
• Champion product enhancements back to the EXLdata.ai engineering team
• Deliver white-glove support for clients using our managed platform offering
• Serve as the technical anchor for first-of-kind deployments at each client.
• Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeline acceleration, DQ uplift, migration speed).
• Provide hands-on support across discovery, configuration, runbooks, and UAT.

AI Forward Deployment Engineer

Procurement

• Lead the end-to-end delivery of sourcing initiatives and procurement programs across categories
• Manage client relationships and serve as the key point of contact for sourcing delivery, ensuring high-quality execution and client satisfaction.
• Lead and manage a team of sourcing professionals, ensuring productivity and delivery quality
• Monitor program performance against KPIs and SLAs, providing regular updates to internal leadership and client stakeholders
• Collaborate with sourcing directors to ensure seamless execution of sourcing projects
• Managed end-to-end sourcing cycle, understand business needs, perform vendor research to identify potential participants to getting the contract signed
• Conduct market research and analysis to identify potential suppliers, evaluate their capabilities, and gather market intelligence to support decision-making
• Lead supplier selection and qualification processes, including issuing RFIs, RFPs, and conducting supplier evaluations and negotiations

Senior Procurement Manager – Strategic Sourcing

Data Steward

• Document and maintain technical metadata across enterprise data assets.
• Perform end-to-end lineage analysis and lineage stitching across source-to-target systems.
• Analyze data quality and operational data issues.
• Support data remediation efforts in collaboration with engineering and business teams.
• Validate data movement and transformations across systems.
• Assist with metadata onboarding and governance initiatives.
• Support root cause analysis for data incidents and quality issues.
• Work with Data Engineers to improve traceability and data transparency.
• Develop and maintain technical documentation and lineage artifacts.
• Support audit, compliance, and risk management requirements.

Data Steward – Custodian

Software Engineer

• Develop and maintain Business Metadata, Technical Metadata, Data Lineage, and Critical Data Element (CDE) frameworks.
• Configure and administer Collibra workflows, assets, domains, and governance processes.
• Design and implement metadata ingestion and integration processes across enterprise data platforms.
• Integrate Collibra with Databricks Unity Catalog and other enterprise data sources.
• Develop automated metadata synchronization and lineage capture processes.
• Support metadata quality, governance, and stewardship initiatives.
• Collaborate with Data Architects and Governance teams to establish metadata standards and best practices.
• Analyze metadata requirements and implement scalable governance solutions.
• Support regulatory, audit, compliance, and risk management initiatives through enhanced data traceability.
• Create technical documentation and governance artifacts.

Metadata Developer

• Manage data quality and integrity
• Implement data management processes
• Collaborate with teams to ensure compliance
• Provide support for data-related initiatives