Backend Engineer

• Design and build RESTful and event-driven backend services in Python and/or Node.js that support multi-agent orchestration, HITL workflows, and exception routing across finance processes.
• Architect and implement the workflow state management layer — handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent.
• Implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing.
• Develop and maintain APIs that expose platform capabilities (exception management, approval routing, notification triggers, audit trail) to downstream consumers and front-end applications.
• Ensure platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards — with alerting on SLA breaches, queue depth, and service health.
• Collaborate with AI engineers to integrate LLM-based services and agent outputs into backend workflows, handling model responses, confidence thresholds, and fallback routing.
• Implement security best practices — IAM role-based access, secrets management via AWS Secrets Manager, data encryption at rest and in transit, and audit logging for compliance.

Backend Engineer – Node.js, Python

Auditor

• Review the clinical information/medical record and summarize relevant clinical information based on set of guidelines/criteria
• Perform best practice reviews and identify areas for improvement
• Check on compliance with CMS guidelines
• Taking initiatives and active participation in team developmental activities
• Able to correlate the lab results with the clinical features and treatment
• Maintain and update reports as required
• Ensure meeting productivity and quality targets
• Ensure availability for meeting/calls as required
• Liaison with the program/project manager as required

Executive – Clinical Auditor

Data Analyst

• Support the execution of international data initiatives by enabling data-driven decision making.
• Help translate business needs into analytical solutions and monitor operational performance.
• Provide actionable insights through reporting and scorecards across different global markets.

International Data Analyst

Performance Marketing

• Campaign Developer is primarily responsible for execution/implementation of marketing campaigns using RPM Direct proprietary campaign management tool (CampaignDirect) and/or adhoc programmatic workflows.
• Design, develop, and optimize complex SQL queries, views, stored procedures, and packages in Oracle
• Support database-driven marketing campaigns, including audience selection, segmentation, suppression logic, and tracking
• Collaborate with marketing, analytics, and data science teams to translate business requirements into technical solutions
• Provide production support, troubleshooting, and root-cause analysis for data issues
• Ensure data accuracy, integrity, and performance across large, high-volume datasets

Assistant Manager – Campaign Developer

Manager

• Develop, maintain, and monitor ETL/ELT data pipelines.
• Extract, transform, and load data from various source systems into data warehouses and data lakes.
• Assist in building and optimizing data models for analytics and reporting.
• Perform data validation, cleansing, and quality checks to ensure data accuracy.
• Support data integration efforts across multiple systems and platforms.
• Write and optimize SQL queries for data extraction and analysis.
• Troubleshoot data pipeline issues and implement fixes under guidance.
• Collaborate with data analysts, data scientists, and business teams to understand data requirements.
• Document data flows, technical processes, and data lineage.
• Follow data governance, security, and compliance standards.
• Participate in code reviews and contribute to continuous improvement initiatives.

Assistant Manager

Salesforce Administrator

• Analyze business processes
• Gather requirements
• Create reports and dashboards
• Work closely with technical teams
• Support front-end teams

Manager – Salesforce Admin

Product Manager

• Assist in project planning and execution
• Support project tracking and reporting
• Document project processes and milestones
• Perform basic project coordination tasks
• Collaborate with senior project managers.

Product Owner

Artificial Intelligence

• Lead the general analytics function at a senior executive level.
• Develop comprehensive analytics strategies to drive organizational growth.
• Oversee large-scale analytics projects and ensure alignment with business objectives.
• Mentor senior managers and foster leadership within the analytics team.

Senior Director – Product & AI Strategy

• Lead the strategy, planning, execution, and performance optimization of paid digital marketing campaigns
• Oversee client and vendor relationships and manage significant media budgets
• Drive customer acquisition and engagement initiatives
• Collaborate with cross-functional stakeholders to achieve business objectives
• Manage paid media campaigns across various platforms such as Google Ads, Microsoft Ads, Paid Social, and Programmatic display
• Develop and implement comprehensive paid digital media strategies
• Analyze campaign performance using tools like Google Analytics or Adobe Analytics
• Lead, mentor, and develop digital media managers, analysts, and specialists.

Media Director – Cross Channel, Digital Paid Media

Executive

• Ensure that the process transactions are processed as per Desk Top procedures
• Ensure that the assigned targets in accordance with SLA are met
• Ensure that the quality of the transactions is in compliance with predefined parameters.
• Ensure adherence to established attendance schedules
• Ensure adherence to Company Policies and Procedure AM for the purpose of reporting performance, clarifying concerns, and seeking feedback and support.
• Manager for the purpose of settling issues left unresolved by the AM CCEs (Team Members) for the purpose of seeking cooperation & clarification on process-related matters & providing assistance and support when required.

Senior Executive

Executive Assistant

• Support the development of scalable, technology-enabled healthcare solutions that address evolving payer and payment integrity needs.
• Contribute to the incubation and advancement of enterprise platforms leveraging AI, automation, advanced analytics, and data capabilities.
• Partner with product, technology, analytics, and operations teams to define solution requirements, workflows, data needs, and integration considerations.
• Assess market trends, client pain points, and competitive dynamics to identify opportunities for new or enhanced solution offerings.
• Translate innovation concepts into practical solution designs, use cases, business requirements, and commercialization plans.
• Participate in client-facing discussions with executive and senior stakeholders to understand priorities, pain points, and transformation goals.
• Support strategic pursuits, RFPs/RFIs, finalist presentations, and solution workshops by helping articulate EXL’s differentiated capabilities and value proposition.
• Serve as a solution advisor by connecting healthcare payer trends, payment integrity challenges, and technology innovation to client business outcomes.
• Collaborate with internal and external partners, technology providers, and ecosystem stakeholders to strengthen solution capabilities.
• Support the development and scaling of enterprise-grade platforms that enable data-driven payment integrity and healthcare solutions.
• Work with engineering, product, analytics, and delivery teams to promote scalable architecture, interoperability, and effective integration across systems.
• Help lead pilots, proofs of concept, and rapid prototyping efforts to validate emerging capabilities and accelerate innovation cycles.
• Contribute to reusable frameworks, playbooks, and solution assets that support modular and scalable deployment.
• Prepare insights and updates for senior leadership on solution development progress, innovation pipeline activity, market opportunities, and client feedback.
• Define and track success metrics for pilots, solution launches, client engagements, and innovation initiatives.
• Support governance routines that ensure solution development remains aligned to business priorities, delivery feasibility, and measurable client value.
• Lead and mentor cross-functional contributors or small teams, fostering collaboration, accountability, and practical innovation.

Senior Assistant Vice President – Payment Integrity Solutions

Robotics

• To manage the various operational databases and exports on behalf of the operational area on a day to day basis
• To be able to streamline the operational procedure
• To produce Management Information and reports, in a timely manner, based on the data extracts
• Prepare Adhoc MI required by management
• Any other essential function that may occur from time to time as directed by the Supervisor
• To help to identify inefficiencies to the process and assist to drive process improvements activities
• Ensure adherence to established attendance schedules
• Analyzing data and deriving meaningful results for the use of management in decision-making.
• Ability to work with cross cultural staff
• Planning skills ability to prioritize the task and deliver assigned task per define timelines

Assistant Manager – RPA

AI Engineer

• Lead end-to-end delivery of AI, data engineering, and cloud-based transformation engagements.
• Drive client engagement by understanding business priorities, managing expectations, presenting solutions, and ensuring timely resolution of risks and issues.
• Provide technical and delivery leadership across AI/ML, GenAI, data platforms, cloud, and enterprise architecture initiatives.
• Own delivery planning, execution tracking, governance, quality, and stakeholder reporting for complex programs.
• Collaborate with business stakeholders, architects, product owners, engineering teams, and leadership to define solution roadmaps and execution plans.
• Guide teams in designing scalable, secure, and cost-effective AI and data solutions aligned with enterprise standards.
• Mentor, manage, and develop engineering teams to ensure delivery excellence and continuous capability improvement.
• Promote best practices across AI engineering, data engineering, DevOps, automation, performance optimization, and compliance.

Delivery Lead – AI Engineer

Data Scientist

• Design and develop enterprise-wide data governance programs
• Define governance operating models and accountability mechanisms
• Develop policies and processes for data management
• Partner with business and data product teams

Data Governance Lead

Operations

• This role manages post-audit workflows, provider collections, invoicing, reporting, and team performance while driving process improvements and ensuring compliance with company policies and regulatory requirements.
• Oversee daily post-audit operations, including provider collections, daily letter generation, invoicing, reporting, and inventory management.
• Ensure outbound collection calls, demand letters, and post-audit activities are completed within established service level agreements.
• Monitor and achieve client savings and internal revenue goals.
• Coordinate the timely submission of revenue and findings files and ensure accurate monthly invoicing.
• Analyze operational metrics and resolve issues that may impact revenue or client savings.
• Maintain accurate daily, weekly, and monthly operational reports.
• Supervise and support Post Audit Coordinators to ensure productivity and quality expectations are consistently met.
• Conduct regular team meetings, one-on-one coaching sessions, and performance reviews.
• Provide ongoing training, mentoring, and development opportunities for team members.
• Manage staffing, attendance, workload distribution, and timesheet approvals.
• Address escalated customer and provider issues while fostering a positive and accountable work environment.