Auditor

• Performing physical and remote audits of insured’s business.
• Interviews, investigates, collects, and records information to be used in a written report that is provided to the insurance carrier.

Insurance Field Auditor

DevOps Engineer

• This role is client-facing, hands-on technical role that embeds with enterprise customers to deploy AI models and agentic workflows into production environments.
• They bridge the gap between the EXLdata.AI platform team focusing practical application, building, coding, and troubleshooting solutions to solve complex business problems while providing feedback to improve the core AI platform.

Senior AI Forward Deployment Engineer

• Performs audit activities as assigned by the Area and/or Regional Manager.
• Audit responsibilities will include determining audit priorities and scheduling to meet stated deadlines, preparation of appointment letters, performing detailed review of all related business records, and preparing written reports of findings.
• Meets with business owners/managers to review audit results and implement any actions required.
• Transmits completed reports to Quality Review for handling by the required due date.
• Corrects and completes audits previously returned for correction and transmits back to Quality Review in a timely manner by Auditor expectations and SOP.
• Maintains accurate audit and business records related to, but not limited to, audit assignments, expense reports, time reporting, etc.
• Performs other duties as assigned.

• The Premium Insurance Field Auditor conducts insurance policy audits for Worker’s Compensation, Auto and General Liability policies.
• This is done by auditing the policyholder’s records according to client company standards.
• Working from your home office, this role requires scheduling appointments with the insured to be audited, and travel on an average of 4 days per week within your assigned territory to meet with the insured and obtain necessary documentation for our insurance company client audits all while adhering to customer requirements and quality standards.

Experienced Premium Insurance Field Auditor

• The Premium Insurance Field Auditor conducts insurance policy audits for Worker’s Compensation, Auto and General Liability policies.
• This is done by auditing the policyholder’s records according to client company standards.
• If you are looking for a fast paced, self-motivating work environment from home, this job may be for you!
• Working from your home office, this role requires scheduling appointments with the insured to be audited and obtain necessary documentation for our insurance company client audits all while adhering to customer requirements and quality standards.
• Territory: Baltimore, MD and surrounding areas

Premium Insurance Field Auditor

Sales

• Drive data-driven sales strategy and performance optimization across outbound sales channels
• Analyze sales performance, campaign effectiveness, and customer segmentation to identify growth opportunities
• Conduct comprehensive analysis of outbound sales performance to identify trends, drivers, and constraints impacting funded outcomes
• Analyze historical and current sales performance across outbound activities, campaigns, and customer segments
• Identify key drivers and inhibitors of conversion, efficiency, and sales productivity
• Translate analytical findings into actionable operational and strategic recommendations tied to measurable business outcomes
• Evaluate outbound dialing and campaign performance across populations, segments, and targeting strategies
• Identify high- and low-performing customer segments with clear business rationale and performance insights
• Develop recommendations to improve segmentation, prioritization, targeting precision, and campaign design
• Partner with teams to assess the impact of planned initiatives on eligible populations and outbound sales performance
• Build dashboards, monitoring frameworks, and recurring performance reviews to track sales funnel health and campaign effectiveness
• Support strategic planning through forecasting, scenario analysis, and performance modelling
• Present insights and recommendations to business stakeholders and leadership teams in a clear and concise manner

Engagement Manager – Sales Analytics

Procurement

• Execute sourcing strategies for **Professional Services categories** (consulting, IT services, legal, staffing, BPO)
• Manage **end-to-end sourcing lifecycle** from requirement gathering through contract execution
• Partner with business stakeholders to **understand requirements and define sourcing approach**
• Conduct **market research and supplier analysis** to identify qualified vendors and gather intelligence
• Develop and publish **RFx (RFI/RFP/RFQ)** in sourcing platforms
• Drive **supplier identification, selection, and evaluation**, including scorecarding and due diligence
• Analyze and document **supplier responses** to ensure completeness and alignment with requirements
• Lead **commercial negotiations** (pricing, terms, service levels) to optimize cost and mitigate risk
• Manage **contracting process (MSA/SOW)** in collaboration with legal, business, and suppliers
• Coordinate **contract finalization and execution** ensuring compliance and governance alignment
• Maintain and manage **project plans / trackers** for all sourcing initiatives
• Ensure timely **execution of sourcing events, NDA management, and contracting milestones**
• Coordinate with stakeholders to **schedule meetings, supplier presentations, and evaluation sessions**
• Provide regular **status updates and reporting** to stakeholders on sourcing progress
• Ensure adherence to **procurement policies, processes, and compliance requirements**

Sourcing Specialist

Software Engineer

• Provide technical support for Earnix configuration, customization, and integration with enterprise pricing systems and workflows
• Collaborate with actuarial, data, and IT teams to design and implement architecture supporting pricing and rating processes
• Work with solution architects and system engineers to optimize end-to-end pricing lifecycle, including data ingestion, model deployment, and monitoring
• Develop, enhance, and maintain Earnix-based pricing models and decisioning systems
• Ensure performance, scalability, and reliability of Earnix solutions in production environments
• Support integration with upstream/downstream systems (e.g., policy admin systems, data warehouses, APIs)
• Participate in testing, validation, and deployment of pricing models
• Troubleshoot and resolve technical and functional issues in pricing applications
• Contribute to best practices, documentation, and governance for pricing systems and actuarial processes

Earnix Developer, SME

Product Analyst

• The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups.
• This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design.
• In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.

Digital Data Product Analyst

Business Analyst

• Quality Assurance: Implement comprehensive reviews and testing to guarantee data integrity, reliability, and compliance with established standards. Provide data-driven insights and recommendations to inform strategic decision-making.
• Champion Creative Solutions: Navigate ambiguity and tackle data challenges by designing and implementing innovative solutions that balance immediate needs with sustainable practices.

Lead Business Analyst

Data Engineer

• Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines
• Build scalable data pipelines for structured and unstructured data (batch + real-time)
• Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks
• Integrate AWS AI/ML services into production-grade architectures
• Develop and optimize data lakes, warehouses, and lakehouse architectures
• Build APIs and microservices to expose AI/ML capabilities
• Ensure data quality, governance, and security across pipelines
• Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions
• Implement monitoring, logging, and observability for AI agents and pipelines
• Optimize cost and performance of cloud-based AI workloads

Data Engineer, Agentic AI

Manager

• Lead the planning, coordination, and execution of DRG audit activities
• Manage a team of auditors responsible for MS-DRG and APR-DRG reviews
• Oversee inventory, aging, risks, and day-to-day performance
• Collaborate cross-functionally to support program success
• Ensure accurate coding and reimbursement outcomes
• Monitor regulatory and payer guideline updates, ensuring audits remain compliant

Diagnosis-Related Group Manager

• Conduct comprehensive MS-DRG and APR-DRG coding reviews to ensure accuracy in DRG assignment and reimbursement.
• Apply expert knowledge of coding guidelines and utilize industry-leading tools to maximize overpayment identifications.
• Craft clear, concise, and well-supported audit findings, backed by AHA Coding Clinic Guidelines and ICD-10-CM/PCS regulations.
• Utilize advanced DRG encoder tools (such as 3M, Webstrat) to drive efficiency and accuracy in audits.
• Meet or exceed EXL’s quality and productivity standards, including strong uphold rates for appeals.
• Stay ahead of industry trends, coding updates, and compliance regulations to maintain expert-level knowledge.
• Adhere to HIPAA and EXL policies and procedures to ensure data security and regulatory compliance.

Diagnosis-Related Group Auditor III, Healthcare

Learning and Development

• Lead, coach, and develop a team of clinical and coding trainers while establishing a culture of accountability, engagement, and continuous improvement
• Set clear performance expectations and provide regular feedback, coaching, and development opportunities to drive individual and team success
• Oversee trainer performance, workload prioritization, and execution against business goals, training deliverables, and operational timelines
• Develop and execute training strategies and programs that support onboarding, speed to proficiency, performance improvement, and long-term capability building
• Ensure all training programs remain relevant, accurate, and aligned with business needs, client expectations, and operational priorities
• Conduct training needs assessments and identify capability gaps across teams
• Monitor, evaluate, and continuously improve training effectiveness through performance metrics, learner feedback, observations, and assessments
• Partner cross-functionally with Operations, Quality, Clinical, Coding, and Leadership teams to align training priorities and drive business outcomes
• Maintain visibility into training records, reporting, trainee progression, and readiness metrics
• Organize and facilitate training sessions, workshops, webinars, and development activities as needed
• Manage team resources effectively and remove barriers impacting trainer success
• Stay current on industry trends, best practices, and evolving learning methodologies

Training Manager

Data Analyst

• Prepare and present reports with clear insights and recommendations to internal teams and external stakeholders.
• Collaborate directly with clients to resolve fraud issues, ensure compliance, and support decision-making.
• Work effectively under pressure, managing multiple priorities while maintaining high accuracy and attention to detail.