Data Scientist

• Lead end-to-end technical delivery for data and AI engagements, from solutioning through execution
• Serve as a trusted technical advisor and primary point of contact for client stakeholders
• Own solution architecture and technical design decisions across data platforms
• Drive stakeholder management across business and technical audiences, including C-suite/executive presentations
• Build and present technical solutioning decks (PowerPoint) for client and internal audiences
• Guide teams on agentic delivery approaches and modern AI-driven delivery models
• Partner with sales/pre-sales teams on proposals and technical solutioning as needed

AVP Data & AI Technical Delivery Lead – Insurance

Manager

• Journal entry preparations & Uploads
• Reconciliations - Preparation of reconciliations
• Follow-up and closure of open items
• Running reports and maintaining Fixed Asset Register
• Asset settlement, split
• Asset master and serial number update

Lead Assistant Manager – General Ledger

Executive Assistant

• Partner with Product, Engineering, Operations, and Business teams to gain deep understanding of product workflows, business rules, integrations, and risk areas.
• Design and implement AI-enabled QA solutions that help identify, predict, and prevent defects early in the SDLC.
• Embed AI capabilities into the product and QA ecosystem to improve monitoring, validation, anomaly detection, regression analysis, and quality insights.
• Leverage AI tools and frameworks for:
• - Intelligent test case generation
• - Automated test script creation and maintenance
• - Defect prediction and root cause analysis
• - Test optimization and prioritization
• - Requirement-to-test traceability
• - Regression impact analysis
• - Automated validation and data quality checks
• Build and enhance automated testing frameworks for UI, API, database, and batch processing systems.
• Drive shift-left quality practices and integrate AI-enabled testing into CI/CD pipelines.
• Analyze production trends, defect leakage, audit findings, and operational data to recommend preventive quality controls.
• Collaborate with development teams to implement proactive quality gates and self-healing automation solutions.
• Evaluate emerging AI technologies, tools, and accelerators for adoption within QA and engineering processes.
• Create dashboards, reporting, and metrics demonstrating QA efficiency gains, defect reduction, automation coverage, and AI-driven improvements.
• Mentor QA team members on AI-assisted testing approaches and modern quality engineering practices.

Senior Quality Analyst, Assistant Manager

Administrative Assistant

• The Candidate will be required to research & resolve ADM received for US Market. Should have good understanding of Travel Business in order to do root cause analysis of the ADM's
• The candidate should have good knowledge of various GDS displays and must be able to analyze and interpret PNR and Fare Rules
• Candidate will be required to follow-up with GDS & Airlines to clear pending ADM dispute
• E2E Travel Process knowledge
• Self Starter with ability to multitask

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 – Implementation Expert

Vice President

• Support development of credit card product features and lifecycle design
• Manage onboarding and account management frameworks
• Review and maintain Product Requirement Documents (PRDs)
• Bring SME in Credit Product launch and enablement – legal and compliance as well
• Assist the execution team around prioritization and feature/product level controls and guardrails
• Define backend data requirements, including data capture, storage, and usage
• Establish customer communication flows (notifications, servicing, alerts)
• Coordinate integration with customer support portal
• Collaborate with technology and controls teams to ensure smooth product implementation
• Support product build activities and ensure alignment with overall product strategy

Assistant Vice President

• Conduct post-audit reviews of healthcare claims to ensure accuracy and compliance with payer policies, regulations, and billing guidelines.
• Verify that claims are billed correctly, including checking codes, modifiers, and the application of benefits.
• Identify and analyze discrepancies or errors in claims processing.
• Work with claims processors and providers to resolve issues or discrepancies.
• Prepare and document findings and recommendations for corrections.
• Generate detailed reports on audit findings, including error trends, compliance issues, and recommendations for process improvements.
• Maintain accurate records of audits, findings, and resolutions.
• Analyze audit results to identify areas for process improvement within the claims processing system.
• Collaborate with internal teams to implement changes and improve claim accuracy and efficiency.
• Communicate with healthcare providers and payers regarding audit findings, discrepancies, and required corrections.

Assistant Manager

Solutions Engineer

• Partner with sales and industry teams to design client-ready demos, proof-of-concepts, and technical solution blueprints
• Present complex architectures in a clear, business-outcome-driven manner to both executive and technical stakeholders
• Contribute to RFP/RFI responses, solution proposals, and deal shaping
• Act as a trusted advisor in client conversations, highlighting differentiators of Data & AI Solutions
• Architect distributed, scalable, and resilient data and AI platforms for presales demonstrations
• Define and enforce observability standards for demo and enterprise environments
• Implement zero-trust security models and ensure compliance standards are met
• Collaborate with Product, Data Science, Engineering, and Governance teams to align demos with business needs

Solution Architect – Data & AI Solutions

Business Analyst

• Role of a Senior Business Analyst is to assist the client by creating various reports, designing customized forms and dashboards, managing large databases and various other business analyst related tasks as per client requirements

SDET

• Lead the QA function across multiple projects, ensuring delivery of high-quality CX and Contact Center solutions.
• Define, implement, and continuously enhance QA processes, methodologies, and best practices.
• Establish quality metrics, dashboards, and reporting mechanisms for internal stakeholders and clients.
• Oversee the creation, review, and execution of comprehensive test plans and test cases.
• Drive automated testing initiatives using industry-standard tools and frameworks.
• Evaluate and select automation tools suitable for Conversational AI, CCaaS, and web/frontend solutions.
• Lead testing efforts for Conversational AI bots, NLP/NLU workflows, Agent Assist tools, and Omnichannel CCaaS platforms (e.g., Genesys, NICE CXone, Amazon Connect, Avaya, etc.).
• Validate integrations between contact center platforms, backend systems, APIs, and front-end customer interfaces.
• Conduct voice and chat flow testing, accuracy validation, and experience scoring.
• Guide, mentor, and supervise QA analysts and automation engineers.
• Work closely with solution architects, delivery managers, and developers to ensure smooth releases.
• Collaborate directly with clients to understand business requirements, align on test strategy, and support UAT cycles.
• Engage throughout SDLC to ensure quality checkpoints are embedded from requirements to deployment.
• Maintain traceability from requirements to test cases and execution results.
• Drive defect triage meetings and ensure timely closure of issues.

QA Architect

• Planning and driving agenda, creating materials with business/FP&A and track / closure of action items for the monthly Global operation leadership call
• Planning & driving weekly operations head leadership meeting & action items to closure
• Provide meaningful insights to senior leadership for ‘optimal’ business decision making
• Quarterly Business Review presentations related to Insurance business to EC members
• Proactive analysis & alerts on business health and concern areas
• Objective Key Results formulation, reporting and tracking for Insurance
• Closely work with senior management
• Coordination with various teams across organization
• Ascertaining accuracy of information gathered from multiple teams
• Top down budget & target setting
• Audits and compliance oversight
• Work closely with the operations and geo head to drive agenda, create materials with business/FP&A and ensure tracking / closure of action items
• Provide meaningful insights to senior leadership for ‘optimal’ business decision making
• Quarterly Business Review presentations related to geography to EC members
• Proactive analysis & alerts on business health and concern areas
• Objective Key Results formulation, reporting and tracking for the geography
• Objective Key Results coaching to business teams
• Closely work with senior management and coordination with various teams across organization
• Ascertaining accuracy of information gathered from multiple teams
• Top down budget & target setting
• Audits and compliance oversight

Senior Manager – Chief of Staff Office to PHP Geo and HLS Ops Head

Customer Success Manager

• Drive product, contact and creative strategies to develop and implement large scale CRM campaigns optimized using machine learning, predictive modeling, and personalized content.
• Manage and execute the marketing campaign process from initial request submission to deployment with a focus on outbound marketing channels (e.g., email, SMS, push).
• Audience segmentation & execution
• QA of touchpoints, personalization elements, any dynamic content, etc..
• Campaign build and deployment
• Design and implement A/B and multivariate tests that yield continuous improvements to our fan strategies and lift conversion rates.
• Optimize lifecycle CRM campaigns (e.g., onboarding, reactivation) using insights and analytics along with automation tools to increase fan LTV.
• Extracting key insights and learnings for future optimization and template efficiency.
• Collaborate with internal stakeholders, partners, and vendors to build the most effective campaign strategies to meet performance targets.

CRM Marketing Specialist – English, Spanish

• Lead medium-sized data modelling projects.
• Oversee data modelling standards and documentation.
• Mentor and develop junior team members.
• Collaborate with other departments to align data modelling practices.

Lead Assistant Manager

• Record journal entries, settlements, adjustments, sub ledger closing.**
• Prepare and review critical Balance sheet/Bank reconciliations; carry out variance analysis

Assistant Manager, Period End Close

QA Automation Engineer

• Build Infrastructure as Code (IaC) using: Terraform, Bicep, ARM Templates, CloudFormation
• Automate provisioning of: Virtual Machines, Virtual Networks, Storage, Firewalls, Load Balancers, DNS, DHCP, Certificates
• Develop reusable automation modules and templates
• Understand Zero Trust architecture
• Manage identity and access using Azure AD/Entra ID and Active Directory
• Enforce security baselines and hardening
• Design, deploy, and manage hybrid infrastructure across: Azure, AWS, VMware vSphere, Windows Server
• Ensure high availability and scalability

EXL