Data Modeler

• Design and maintain conceptual, logical, and physical data models
• Develop scalable dimensional models for analytics and reporting
• Collaborate with data architects and engineers to align models with platform and architectural standards
• Translate business requirements into high-quality, reusable data structures
• Ensure data consistency, integrity, and performance across data layers
• Support impact analysis, data lineage, and metadata documentation

Executive

• Fulfill requirements within stipulated deadlines
• Perform revenue forecasting, budgeting, sales reporting, and operational metrics tracking/analysis
• Analyze financial data and create financial models for decision support
• Prepare financial performance reports for regular leadership reviews
• Analyze past results, perform variance analysis, identify trends, and recommend improvements
• Collaborate with Sales, Operations, HRSS, and accounting teams on financial and sales reporting
• Evaluate actual results against plans and forecasts
• Guide cost analysis by establishing and enforcing policies and procedures
• Provide trend and forecast analysis and recommend optimization actions
• Drive process improvements, including standard and ad-hoc reports, tools, and Excel dashboards
• Develop automated reporting and forecasting tools
• Generate and distribute accurate, timely management reports in Excel and PowerPoint
• Develop MIS documentation and SOPs
• Improve current MIS reporting efficiency and consistency
• Develop MIS systems for customer management and internal communication
• Provide reporting and analytical support to management
• Analyze business information to improve efficiency and effectiveness
• Participate in cross-functional meetings to resolve recurring customer issues

Senior Executive – MIS

Data Engineer

• Design scalable data solutions
• Build robust data pipelines
• Model enterprise datasets
• Enable analytics and AI/ML use cases on Palantir Foundry
• Perform data ingestion, pipeline building and transformations
• Build interactive applications using Foundry Workshop, Slate and custom TypeScript frontends
• Deliver complex data engineering solutions in agile environments

Analyst

• Manage operational delivery and stakeholder relationships for assigned clients
• Provide specialized consulting advice based on engagement requirements
• Support executive-level decision-making
• Independently elicit requirements from the Claims business and translate business needs into strong reporting designs
• Define a target-state insights capability by identifying missing insights, prioritising them with the business, and mapping the path to an optimal solution
• Deliver hands-on in Power BI, from wireframing and prototyping through to finalised, production-grade reports, including enhancements and new builds
• Act as the senior reporting lead and single credible partner for the Claims team, setting direction and driving work forward proactively

Data Scientist

• Design and develop data models and analytical solutions
• Optimize data analysis processes and methodologies
• Ensure data solutions meet business and technical requirements
• Provide technical support for data science projects
• Collaborate with stakeholders to address data science needs
• Build statistical models and analyze large datasets
• Present findings to stakeholders
• Collaborate with other data professionals to solve complex problems and improve business outcomes

Software Engineer

• Write clean, efficient, and maintainable code for various applications
• Identify and fix bugs in existing software
• Participate in code reviews to ensure code quality and adherence to standards
• Collaborate with developers, designers, and product managers to understand requirements and deliver solutions
• Develop and execute unit tests to ensure software functionality and reliability
• Create and maintain documentation for code and software features
• Stay updated with the latest technologies and best practices to improve software development processes

Developer

Product Analyst

• Lead the discovery, onboarding, and integration of Flag Football data sources into the central data platform
• Coordinate data acquisition across clubs, international markets, leagues, federations, vendors, registration providers, and third-party partners
• Manage the Flag Football data roadmap, priorities, milestones, risks, dependencies, and stakeholder communications
• Translate business needs into data requirements, user stories, acceptance criteria, and monitoring needs
• Establish and maintain standardized data definitions, collection methodologies, schemas, and reporting frameworks
• Partner with engineering, architecture, analytics, governance, privacy, and business teams to move data sources from discovery through production
• Support source onboarding through data profiling, validation, testing, quality assessment, and issue resolution
• Develop and maintain an inventory of Flag Football data sources and integration opportunities
• Coordinate recurring program updates, executive reporting, and cross-functional working sessions
• Support global participation measurement methodologies and reporting
• Help establish participant-level data models, identity management approaches, and consent-aware data practices
• Enable analytical capabilities connecting participation data to fan engagement, retention, and fandom outcomes

Data Product Analyst

Consultant

• Lead design and development of transformation solutions
• Define solution strategies and standards
• Oversee solution implementation
• Mentor junior consultants
• Ensure alignment with business goals
• Manage client relationships
• Provide strategic guidance
• Work with senior management to ensure transformation solutions meet client needs and organizational goals

Transformation Solution Consultant

Manager

• Act as a SME/coach/mentor and manage mid-size teams
• Serve as the first-level escalation point for clients/team members
• Ensure all documentation is completed
• Introduce process metrics and report weekly, monthly, and quarterly
• Review and quality-check tasks performed by associates
• Identify, initiate, and coordinate best-practice strategies, standardization, and process improvements for the team
• Handle daily/weekly calls

Lead Assistant Manager

Vice President

• Evolve the long-term vision for EXLdecision.ai, embedding agentic AI into the core platform to solve critical challenges in analytical decisioning
• Directly manage the product P&L, including revenue growth, contribution margin, and financial health
• Translate company strategy into a multi-year roadmap aligned to ARR expansion and enterprise value
• Use customer signals and performance data to align product investment with ROI
• Own the full go-to-market strategy, including target segments, pricing models, and packaging for the agentic suite
• Identify and prioritize growth across decisioning domains and industry verticals
• Design and scale a product-led growth engine that improves adoption, expansion, and customer lifetime value
• Partner with Marketing and Sales to sharpen positioning and drive acquisition and retention
• Serve as the senior external face of the product, supporting key deals and renewals
• Act as executive sponsor for strategic accounts and ensure value realization
• Present product strategy and growth impact to C-suite and board stakeholders
• Bring enterprise insights back into the product organization to ground decisions in customer needs

VP Product & Strategy

• Lead architectural design and implementation of multi-agent AI systems
• Drive technical strategy for GenAI initiatives and recommend best practices
• Mentor and provide technical guidance to junior and mid-level engineers
• Collaborate with stakeholders to define requirements and deliver solutions
• Own end-to-end delivery of complex, production-scale AI systems
• Build and maintain high-performance REST/WebSocket APIs using FastAPI and Pydantic v2
• Implement and optimize agentic AI systems using LangGraph, Deep Agents, AutoGen, and LangChain
• Architect real-time, event-driven microservices using messaging queues such as Apache Kafka
• Design clean, testable, maintainable services using SOLID principles, Python async, and type hints
• Integrate and optimize SQL, NoSQL, and vector databases including Postgres, MongoDB, ChromaDB, and Pinecone
• Run LangGraph/Deep Agents workflows in production with checkpointing, persistence, and human-in-the-loop controls
• Use LLM observability and evaluation tooling such as LangSmith and Langfuse
• Apply LLM safety guardrails including prompt-injection mitigation, PII handling, and content moderation
• Stay current with emerging trends in GenAI, deep learning, and AI orchestration frameworks
• Apply practices aligned with Banking, Insurance, and Healthcare compliance requirements

Auditor

• Supervise and manage daily activities of surgery coding and audit teams, including in-house and contract auditors
• Allocate workload, monitor performance, and ensure timely completion of tasks
• Conduct team meetings and communicate updates, performance results, challenges, and process changes
• Ensure coding audits meet accuracy, quality, and productivity benchmarks
• Review audit results, identify recurring issues, and implement corrective actions
• Collaborate with Quality Assurance and Training teams on coaching and retraining
• Monitor workflows and recommend process improvements
• Support best practices in surgical coding operations
• Ensure coordination between coding, auditing, and training functions
• Ensure adherence to HIPAA, OIG, and other compliance regulations
• Track performance metrics and prepare reports for senior management
• Address audit discrepancies, process deviations, and non-compliance issues
• Coordinate with audit teams, management, and clients
• Participate in client calls and internal reviews
• Support audit planning and resource allocation
• Lead training sessions on current coding audits for multiple specialties
• Develop curriculum, training handbooks, presentations, process manuals, and training materials
• Perform quality assurance reviews and random chart audits
• Organize coding-audit meetings and respond to coding questions
• Research updated coding information and coding issues
• Conduct coding reviews and training programs to assure coding quality
• Ensure billed services are accurately coded
• Analyze benchmarking profiles and provide coding and payer updates

Assistant Manager – Coding Auditor

General

• Lead the development and execution of complex test plans and cases
• Oversee quality assurance project management and execution
• Mentor junior testers
• Ensure quality solutions align with organizational goals
• Provide strategic guidance on testing practices
• Collaborate with other departments to align testing with business objectives
• Drive improvements in testing processes

Quality Lead

Artificial Intelligence

• Lead end-to-end delivery of Agentic AI and Generative AI initiatives from discovery and solutioning through deployment, adoption, and production support
• Design and oversee autonomous and multi-agent solutions using large language models, retrieval-augmented generation, reasoning workflows, tool integration, and orchestration frameworks
• Define AI transformation roadmaps, delivery plans, success metrics, governance standards, risk controls, and reusable accelerators
• Guide responsible AI practices covering security, privacy, explainability, human oversight, hallucination controls, and regulatory compliance
• Lead legacy-to-cloud data modernization, data migration, platform consolidation, and enterprise data transformation programs
• Define and implement data governance, data quality, metadata management, master data management, data lineage, and lifecycle management capabilities
• Oversee modernization of data lakes, data warehouses, lakehouse platforms, analytics ecosystems, and real-time data processing solutions
• Drive DataOps practices, reusable ingestion and transformation frameworks, and standardized ETL/ELT delivery patterns
• Provide technical oversight for AWS cloud-native data and AI platforms
• Drive architecture decisions across data engineering, APIs, microservices, event-driven integration, containerization, infrastructure as code, and cloud security
• Establish CI/CD, DevOps, MLOps, observability, reliability, performance, and cost-optimization practices
• Manage cross-functional global teams of AI Engineers, Data Engineers, Data Scientists, Architects, Product Owners, Business Analysts, QA, DevOps, and domain SMEs
• Own program planning, estimation, budgeting, staffing, delivery governance, dependency management, risk mitigation, and executive reporting
• Facilitate business and technology workshops to identify high-value AI and data modernization opportunities
• Communicate roadmaps, architecture decisions, delivery status, risks, and business outcomes to senior stakeholders and clients
• Mentor teams and promote engineering excellence, delivery discipline, innovation, and reusable solution patterns
• Partner with P&C insurance functions to identify AI-led transformation opportunities
• Lead initiatives supporting underwriting automation, claims intelligence, fraud detection, pricing analytics, risk insights, and customer servicing
• Align delivery with insurance data standards, governance expectations, privacy requirements, and regulatory controls

AI Delivery Lead

• Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
• Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
• Drive data migration and modernization efforts from legacy environments to cloud-native platforms
• Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
• Establish and enforce data engineering standards, coding best practices, and pipeline documentation
• Provide hands-on troubleshooting and performance optimization across the data stack
• Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery
• Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables
• Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams
• Communicate project progress, risks, and dependencies to project managers and client stakeholders
• Mentor junior engineers and conduct code reviews to uphold quality standards
• Collaborate with data architects, analysts, and QA teams throughout the project lifecycle

Data Modeler

Senior Executive – MIS

Data Engineer

Analyst

Data Scientist

Developer

Data Product Analyst

Transformation Solution Consultant

Lead Assistant Manager

VP Product & Strategy

Data Scientist

Assistant Manager – Coding Auditor

Quality Lead

AI Delivery Lead

Lead Data Engineer