Auditor

• Lead and manage a team of medical coding specialist ensuring accurate and timely auditing of procedures across various specialties in accordance with industry standards, guidelines and regulatory requirements
• Provide guidance, training, and mentorship to the coding team, fostering a collaborative and high-performing work environment
• Oversee the coding workflow, prioritize work assignments, and ensure productivity and quality targets are met or exceeded
• Stay updated with changes in coding guidelines, payer policies, and industry trends related to surgery coding and payment integrity process and effectively communicate these changes to the team
• Conduct regular audits and quality checks to ensure compliance with coding guidelines, accuracy of coded data, and adherence to documentation requirements
• Collaborate with other departments, such as analytics, repricing, quality, compliance to optimize coding processes and resolve coding-related issues
• Monitor key performance indicators (KPIs) and develop performance improvement initiatives to enhance auditing efficiency, accuracy, and productivity
• Apply payment integrity processes and knowledge to ensure proper coding and billing practices, identify claim and documentation errors and deficiencies, and maximize revenue capture
• Serve as a subject matter expert on multi-specialty surgery coding and payment integrity, providing guidance and support to physicians, clinical staff, and other stakeholders to ensure appropriate documentation, coding, and auditing practices

Lead Assistant Manager – Auditors, DRG

Project Manager

• Scheduling: Schedule regular meetings and record decisions (e.g., assigned tasks and next steps).
• Task Management: Break projects into manageable tasks and set timeframes and goals.
• Workflow Creation: Create and update workflows to streamline project processes.
• Risk Analysis: Conduct risk analyses and identify opportunities for improvement.
• Documentation: Prepare and provide documentation to internal teams and key stakeholders.
• Resource Management: Order resources, such as equipment and software, needed for project completion.
• Monitoring: Monitor project progress and address any issues that arise.
• Quality Control: Coordinate quality controls to ensure project standards are met

Associate Project Manager

Manager

• Meet the timeliness and accuracy parameters of cash applications
• Effective communication with onshore/offshore partners
• Prior experience to work on excel and email writing
• Flexible to work in Night shifts/Overtime as per the business requirement
• Strong accounting skills to understand the accounting treatment for corrections/errors.
• Coordination with multiple lines of business for any open items or account related queries or follow-ups

Assistant Manager – Order to Cash, Cash Application

Data Analyst

• Analyze large financial and operational datasets to generate actionable insights
• Build and maintain dashboards and reporting frameworks for business stakeholders
• Write efficient SQL queries to extract, transform, and analyze data from large data warehouses
• Perform deep-dive analysis to identify trends, anomalies, and opportunities for improvement
• Automate recurring analysis and workflows using Python libraries
• Partner with cross-functional teams including Finance, Product, Operations, and Data Engineering
• Ensure data quality, validation, and consistency across reporting pipelines

Data Analyst, Fintech

Data Engineer

• Provide production support for Palantir Foundry pipelines, Ontology, AIP Logics, API integrations and applications
• Monitor process workflows, identify failures and perform timely issue resolution
• Troubleshoot data ingestion, extraction, transformation and orchestration issues
• Collaborate with cross-functional teams to resolve production incidents and improve system stability
• Perform root cause analysis (RCA) and implement preventive measures
• Manage data quality checks and ensure data integrity across pipelines
• Support deployment, release management, and environment maintenance
• Maintain documentation for support processes and known issues

• Design, deploy, and manage secure, scalable, and cost-effective cloud infrastructure on Microsoft Azure
• Utilize services for networking, compute, storage, and automation
• Create highly available, multi-region cloud solutions using Azure services like virtual machines, web apps, and storage.
• Knowledge of administering of Azure environment, including provisioning, configuration, performance monitoring, policy governance, and security
• Manage access controls, implement data protection policies, and ensure all cloud solutions meet security and compliance requirements.

Senior Azure Data Architect

Actuary

• Provide end-to-end support for model-based rate filings under the guidance of pricing and modeling leads
• Produce filing-ready exhibits derived from actuarial and predictive model outputs
• Maintain and execute R scripts to automate transformation of model outputs into regulator-facing documentation
• Draft and refine responses to regulatory objections in collaboration with modelers and pricing leads
• Coordinate internal reviews and obtain approvals for filing documents before submission
• Ensure all filing artifacts are accurate, timely, and aligned with regulatory requirements
• Support the filing lifecycle from initial documentation to final regulator approval

Actuarial Analyst – Decision Analytics

Consultant

• Design and optimize language models that can analyze and understand textual data. Your work will enable us to uncover meaningful patterns, trends, and insights from unstructured information, ultimately solving analytical use cases.
• Utilize sophisticated algorithms and methodologies to refine and improve the performance of our models, enabling accurate predictions and actionable outputs for analytical use cases.
• Stay informed about the latest advancements in NLP and LLM models and help us identify and adopt cutting-edge techniques. Enable us to continuously improve our language models and effectively address diverse analytical use cases.
• Work closely with cross-functional teams to address complex business challenges using LLM models. Help define the requirements to build and scale large language models across our customer base.
• Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles.
• Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders.

Consultant, B2

Full-stack Engineer

• Design, code, test, and debug software applications and systems based on product requirements and specifications.
• Implement and maintain software architecture, ensuring scalability, performance, and security.
• Strong problem-solving abilities and attention to detail.
• Analyze system requirements and develop detailed technical specifications for software development.
• Collaborate with product managers and stakeholders to gather and analyze product requirements and translate them into technical specifications.
• Integrate new software solutions with existing systems and platforms while Ensuring component compatibility and interoperability.
• Perform root cause analysis and implement corrective actions to prevent recurrent issues and bugs.
• Provide training and support to junior programmers and other team members.
• Participate in code reviews and provide constructive feedback to peers.

Fullstack Engineer

Program Manager

• Support the definition, refinement, and tracking of Fan 1:1 domestic and international program objectives, milestones, and success metrics.
• Ensure alignment of program goals with strategic frameworks and organizational priorities.
• Maintain and improve tracking mechanisms to monitor timelines, risks, dependencies, and deliverables.
• Evaluate existing 1:1 workstreams and help identify gaps, opportunities, and new areas of focus.
• Assist in the setup and documentation of new workstreams, including ownership, scopes, and reporting cadences.
• Coordinate across D&A, Marketing, MarTech, Legal, and other cross functional teams to ensure seamless delivery.
• Prepare concise program updates, dashboards, and readouts for leadership and stakeholders.
• Consolidate inputs across workstreams into clear narratives, risks, recommendations, and progress summaries.
• Support planning and working sessions to ensure program goals remain relevant and aligned.
• Build strong working relationships across teams and serve as a connector between business and technical partners.
• Help translate business needs into actionable requirements for analytics, engineering, and other technical groups.
• Coordinate analytics fulfillment and reporting requests to support data-driven decision-making.

Operations

• Work with BU leadership to shape and execute strategic priorities, including growth planning, operational improvement, and market expansion
• Lead strategic analyses and synthesize findings into clear insights and action plans
• Build executive-level PowerPoint presentations that communicate strategic narratives with clarity and impact
• Develop dashboards and performance scorecards to track strategic initiatives and business KPIs
• Collaborate closely with internal marketing and communications teams to ensure strategic alignment in external messaging, campaigns, and content
• Support marketing-led initiatives such as value proposition refinement, thought leadership, and sales enablement tools
• Participate in annual planning, competitive benchmarking, and investment prioritization
• Help prepare materials for leadership reviews, board presentations, and client-facing engagements

VP, F&A Operations and Solutions

Insurance

• Partner with Solution & Technology teams to design, validate, and evolve AI‑led solutions across P&C claims, payments, and loss estimation for the US market.
• Anchor domain credibility by translating real‑world claims workflows (e.g., FNOL, loss estimation, payments, adjuster processes) into scalable, productized solutions.
• Define USP and value propositions by identifying where EXL adds differentiated intelligence beyond industry platforms
• Guide solution commercialization by shaping client narratives, use cases, demos, and ROI stories for US carriers and senior claims leaders.
• Validate applicability and impact of solutions through domain assumptions, regulatory context, and operational realities
• Support client conversations alongside sales and leadership, acting as the domain face in demos, workshops, and executive discussions.
• Continuously scan market and industry trends to ensure solutions remain relevant as claims practices, tools, and regulations evolve

Insurance SME

Vice President

• Build and maintain strong relationships with key Life Sciences clients. Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.
• Lead development of tailored technical proposals in collaboration with cross-functional teams. Design innovative solutions in areas like data modernization and digital transformation, ensuring proposals are practical, competitive, and aligned with best practices.
• Monitor account performance and drive growth through upsell and cross-sell opportunities. Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.
• Coordinate across advisory, technology, and operations teams to ensure seamless delivery. Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.
• Stay current on industry trends, regulatory changes, and competitive dynamics. Contribute to thought leadership through client presentations, webinars, and whitepapers.
• Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.

Lead Data Management – Life Sciences

Platform Engineer

• Leads the design, build, and optimization of the Databricks ecosystem, including Fivetran ingestion and dbt transformation pipelines.
• Ensures scalable, reliable compute environments, seamless AWS integration, and automated deployments using Terraform and GitHub Actions.
• Manage Fivetran connectors and dbt projects for end-to-end data ingestion, transformation, and orchestration across Databricks, S3, and Snowflake.
• Automate infrastructure provisioning and configuration using Terraform integrated with GitHub Actions.
• Architect and implement high availability (HA) and disaster recovery (DR) strategies, including cross-region replication and failover.
• Implement job orchestration, cluster policies, autoscaling, and CI/CD workflows for notebooks, models, and releases.
• Establish monitoring and alerting for cost, usage, pipeline health, data freshness, and compliance using tools such as Datadog.
• Collaborate with platform segments and security teams to enforce governance, tagging, rightsizing, SLAs, and audit readiness.
• Develop and maintain Unity Catalog for governance, lineage, and secure data sharing across platforms.
• Build and maintain MLflow integrations for model lifecycle management, experimentation tracking, and deployment.

Databricks Platform Engineer

Engineer

• Owns the architecture, build, and optimization of the Snowflake platform.
• Design and deploy Snowflake warehouses, databases, and AI capabilities for analytics workloads.
• Automate provisioning, secrets management, schema deployment, and scaling using Terraform and GitHub Actions.
• Implement cost governance through usage tracking, dashboards, resource monitors, and query profiling.
• Integrate Snowflake with various systems to enable unified AI/ML pipelines.
• Enforce data security through RBAC roles, dynamic masking, and efficient compute management.
• Partner with data, ML, finance, and business teams to build and optimize AI-driven data products.