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 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.
• Territory: Indianapolis, IN. and surrounding areas

Insurance Field 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.

Elite Premium Insurance Filed Auditor

Full-stack Engineer

• Build and own production-grade agent systems end to end, from design through deployment and ongoing operation, including steady-state maintenance, reliability improvements, and operational support.
• Implement stateful, durable agentic workflows with clear checkpoints, safe retries, and human-in-the-loop steps for high-impact actions.
• Design agent architectures with planning, tool use, memory, and escalation, and proactively address common failure modes such as hallucinations, tool misuse, state errors, and loops.
• Build secure tool integrations using MCP-based connectors and/or tool registries to expose internal services and approved external SaaS APIs to agents.
• Implement advanced retrieval and grounding, including hybrid retrieval (vector plus structured), reranking, relevance tuning, and robust context assembly for grounded responses.
• Treat evaluation as an engineering discipline by creating offline datasets, regression gates, and online monitoring, and defining measurable success metrics such as task success, groundedness, and tool-call correctness that can gate releases.
• Instrument AgentOps and LLMOps by tracing full trajectories (retrieval, model calls, tool calls, outputs), attributing cost and latency per run, and alerting on drift and failure patterns using standard observability practices and tools.
• Develop self-improving and self-evolving agent loops using evaluator-driven optimization (generate, evaluate, refine) and/or RL-style approaches where rewards are verifiable (tests, constraints, correctness checks).
• Partner with cross-functional teams to translate problem statements into implementable AI solutions, and deliver components that fit broader architectures.

Senior Engineer, Applied AI

Software Engineer

• Develop and maintain mobile applications using native and cross-platform frameworks.
• Collaborate with product managers, designers, and backend developers to deliver high-quality features.
• Integrate mobile apps with backend services and databases (MongoDB).
• Ensure application performance, security, and scalability.
• Troubleshoot and debug applications to optimize performance.
• Stay updated with emerging technologies and best practices in mobile development.

Mobile App Developer

Business Analyst

• Partner directly with Product Owner / Platform Owner to break down Epics into clear, well-defined Features and User Stories.
• Facilitate requirement discussions with business stakeholders, operations teams, and client partners; identify gaps, edge cases, and process risks.
• Document detailed functional and non-functional requirements, including workflow nuances, validation rules, UI/UX behavior, and integration needs.
• Review end-to-end business processes and propose improvements that reduce friction, improve data quality, or increase automation.
• Own your User Stories through the full lifecycle: grooming, refinement, dependency identification, clarification for developers, acceptance criteria validation, and functional review in the development environment.
• Validate delivered stories directly in dev—ensuring completeness, accuracy, and alignment with intended workflow before moving to UAT.
• Collaborate closely with developers, QA automation engineers, and architects to clarify requirements and resolve questions quickly to maintain sprint velocity.
• Provide demos to business stakeholders and support a smooth transition from development to production.
• Act as the primary liaison between business stakeholders, operations teams, the technical pod, and global Scrum teams.
• Communicate requirement changes, risks, and impacts clearly to all parties.
• Manage scope and assist in evaluating change requests for feasibility and timeline impact.
• Escalate risks or blockers to the Platform Owner in a timely manner.
• Conduct data analysis using SQL and other tools to support requirement definition, defect investigations, and root cause analysis.
• Collaborate with technical leads/architects to understand backend impacts, integration considerations, and system constraints.
• Support troubleshooting post-release defects or operational issues, ensuring timely resolution.
• Become a subject matter expert on EXL’s Premium Audit systems, workflows, and user roles (auditors, reviewers, client partners).

Marketing

• Support the production, deployment, and adaptation of creative assets aligned with client guidelines, app content strategy, and tentpole marketing objectives
• Produce creative assets within Figma, ensuring brand and visual consistency
• Version, format, and manage content with the client App CMS
• Leverage existing brand systems and creative libraries to maintain campaign alignment
• Ensure asset readiness for integration into the app experience and campaign placements
• Collaborate with client stakeholders to align creative output with overall event content and market strategies
• Communicate and collaborate with internal stakeholders, partners, and vendors to understand strategy, articulate campaign results, and delegate next steps accordingly
• Collaborate across key internal and external stakeholders outside of Marketing including but not limited to Events, MarTech, Data & Analytics, Data Engineering to drive operational efficiencies
• Partner with stakeholders to translate business requirements into scalable solutions that improve efficiency and customer engagement
• Collaborate with internal and external partners to troubleshoot system issues, manage upgrades, and ensure platform scalability

Creative Coordinator

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

Actuarial A2

• Create and validate reports using Excel, PowerPoint, and macros to ensure accuracy and consistency.
• Consolidate time-bound reports into standard client templates.
• Perform rigorous data quality checks to maintain >99% accuracy across all reporting deliverables.
• The analysts must demonstrate a high level of attention to detail.
• Document data flows and mappings (DFD/ERD) and assist in drafting future-state Business Requirement Documents (BRDs).
• This role requires an understanding of MS Visual Basic macro programming and the ability to troubleshoot and correct errors produced in the macro execution process.
• Maintain deliverable logs and cycle metrics to track turnaround time (TAT) and SLA adherence.
• Reduce manual touchpoints by implementing macro-based automation and template standardization.

VBA Developer

Executive Assistant

• Calendar & Schedule Management: Coordinate and manage complex calendars, schedule meetings, and organize appointments and travel arrangements.
• Communication Handling: Act as a gatekeeper for calls, emails, and other communications; draft and manage correspondence.
• Meeting Coordination: Prepare agendas, take minutes, and follow up on action items for executive meetings.
• Document Preparation: Create reports, presentations, and briefing materials; manage confidential documents and records.
• Travel & Logistics: Organize domestic and international travel, including itineraries, accommodations, and expense reports.
• Project Support: Assist in project coordination, tracking progress, and ensuring deadlines are met.
• Office Operations: Oversee administrative processes, order supplies, and liaise with internal departments and external partners.
• Confidentiality & Discretion: Handle sensitive information with the utmost confidentiality and professionalism.

Data Engineer

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
• Build and maintain data integration workflows from various data sources to Snowflake.
• Write efficient and optimized SQL queries for data extraction and transformation.
• Work with stakeholders to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Maintain and enforce data quality, governance, and documentation standards.
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Azure Data Engineer

Artificial Intelligence

• Lead hands‑on development of reference architectures, POCs, and solution blueprints across data engineering, cloud data platforms, and applied ML.
• Work closely with onsite Growth Partners to design scalable AI/analytics solutions aligned to client outcomes.
• Assess client environments, pain points, and business priorities, then translate these into solution architectures and transformation roadmaps.
• Own the technical components of RFP/RFI responses, solution narratives, cost models, and implementation plans.
• Build reusable assets (demos, templates, frameworks) to accelerate pre‑sales cycles.
• Participate in client workshops, requirement discovery, and technical deep‑dives to shape opportunities.
• Provide hands-on expertise across cloud data ecosystems (Azure/AWS/GCP), modern data stacks, ETL/ELT patterns, and data quality frameworks.
• Support development of accelerators and internal IP, including data pipelines, MLOps workflows, or analytics modules.
• Work with engineering and analytics teams to size effort, identify risks, and recommend best-practice implementation patterns.
• Serve as the offshore partner to U.S.-based Strategic Account Growth Partners.
• Align on deal strategies, value propositions, and account expansion priorities.
• Support creation of client-ready materials: architecture diagrams, impact models, POVs, and technical storytelling artifacts.
• Ensure solution designs transition smoothly into delivery by providing clarity on architecture, dependencies, and success criteria.
• Participate in early delivery phases (e.g., backlog creation, sprint planning, validation) to ensure solution fidelity.
• Act as a technical SME during initial implementation cycles to ensure client satisfaction.

AVP, Strategic Accounts, AI Growth Consultant

Program Manager

• Own end-to-end program management for EXLdata.ai client engagements (demos, POCs, pilots, rollouts)
• Drive planning, execution, tracking, and delivery across multiple concurrent client programs
• Manage scope, timelines, dependencies, risks, and escalation paths
• Act as the primary coordination point across client stakeholders, Engagement Leads, and internal EXL teams
• Ensure clear alignment on engagement objectives, success criteria, and delivery milestones
• Support executive-level communication and engagement governance
• Coordinate across Platform agent teams (Data Engineering, Data Quality, Governance, Migration, Annotation, DataOps) to ensure engagement readiness
• Ensure platform features, agent workflows, and demo assets are aligned to client-specific use cases
• Track feature dependencies and readiness impacting active engagements
• Drive structured execution of demos and POCs, including environment readiness, synthetic data, workflows, and narratives
• Coordinate timelines and responsibilities across presales, solution architecture, and engineering teams
• Ensure repeatable, high-quality engagement execution
• Establish engagement governance cadence (status reviews, risk reviews, leadership updates)
• Maintain program plans, RAID logs, engagement dashboards, and executive summaries
• Proactively identify delivery risks and drive mitigation

Program Manager – Engagement Management

• Support the production, deployment, and adaptation of creative assets aligned with NFL guidelines, app content strategy, and tentpole marketing objectives
• Produce creative assets within Figma, ensuring brand and visual consistency
• Version, format, and manage content with the NFL App CMS
• Leverage existing brand systems and creative libraries to maintain campaign alignment
• Ensure asset readiness for integration into the app experience and campaign placements
• Collaborate with NFL stakeholders to align creative output with overall event content and market strategies
• Communicate and collaborate with internal stakeholders, partners, and vendors to understand strategy, articulate campaign results, and delegate next steps accordingly
• Collaborate across key internal and external stakeholders outside of Marketing including but not limited to Events, MarTech, Data & Analytics, Data Engineering to drive operational efficiencies
• Partner with stakeholders to translate business requirements into scalable solutions that improve efficiency and customer engagement
• Collaborate with internal and external partners to troubleshoot system issues, manage upgrades, and ensure platform scalability

Marketing Creatives Coordinator

Data Scientist

• As an Assistant Manager specializing in Generative AI, you will play a pivotal role in designing, implementing, and scaling AI-driven solutions across the organization. You will collaborate with cross-functional teams to identify opportunities where Gen AI can enhance efficiency, decision-making, and customer experience. This role requires a balance of technical expertise, leadership skills, and business acumen to ensure successful adoption of cutting-edge AI technologies.

Gen AI Data Scientist

Underwriter

• Conduct audits of underwriting files to ensure adherence to internal guidelines, regulatory requirements, and contractual obligations.
• Review and validate underwriting decisions for accuracy and consistency.
• Identify areas for improvement and recommend corrective actions or training needs.
• Gather and analyze data from audits reviews.
• Prepare detailed reports highlighting trends, gaps, and opportunities for process improvement.
• Participate in the creation and delivery of training programs for processors and QA staff.
• Provide feedback and coaching based on audit findings.
• Ensure compliance with underwriting and reinsurance policies, procedures, and regulations.
• Collaborate with internal audit and risk teams to enhance control frameworks.