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

Administrative Assistant

• 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

Manager

• 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

Infrastructure Automation Engineer

Data Scientist

• Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
• Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
• Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.

Senior Data Scientist

• Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting.
• Develop and optimise data pipelines and ETL/ELT processes.
• Build and maintain data warehouse and data lake structures.
• Ensure data quality, governance, and security across platforms.
• Collaborate with data scientists and engineering teams.
• Monitor performance and troubleshoot data workflows.

Executive

• Knowledge of SAP ERP Banking functionality
• Payment run process execution
• Bank Reconciliation
• Month end activities involvement

Senior RTR Executive

Data Analyst

• Profile, assess, and document data quality issues across Claims and Underwriting data domains.
• Define, implement, and monitor data quality rules, thresholds, and KPIs.
• Support the development and rollout of the enterprise data governance framework including policies, standards, and business glossary.
• Collaborate with business and IT stakeholders to identify data owners, stewards, and accountability structures.
• Maintain data lineage documentation and contribute to the data catalog.
• Conduct root cause analysis on data quality failures and track remediation progress.
• Prepare data quality dashboards, scorecards, and status reports for leadership.
• Participate in working sessions with stakeholder's Claims and Underwriting teams to align on data definitions and business rules.
• Support change management and training activities related to governance adoption.

Data Analyst – Data Quality, Data Governance

General

• Generate invoices from received requests, some which may come direct from customer, within agreed timescales and where required ensure reconciliation and adjustments are carried out.
• Reconciliation of self-billed accounts and ensure adjustments are carried out within agreed timescales
• Reductions in debt across operating platforms and ledgers by identifying and targeting issues and finding the most efficient and effective method of collection / resolution, utilizing waiver /write off within authority.
• Excellent customer service for all stakeholders, ensuring lost calls (from internal and external sources) is kept to a minimum.
• Provide timely and accurate MI covering accountabilities and objectives.
• Work within established procedures with only a small degree of supervision.
• Take ownership of, and provide support for, any change or projects impacting receivables related to various ledger, this could include providing advice on the impact of changes as well as involvement in testing and the implementation of new processes.
• Identifying and delivering cost reductions and / or process efficiencies as a result of continuous improvement initiatives across all processes.
• Identify, own and manage the risks appropriate to the role, in line with Client Policies.

Cash Application Specialist

Actuary

Life Actuarial Resources

Analytics Engineer

• Design, Develop and maintain Business Translation Layer (BTL) pipelines using SQL/DBT in Azure Databricks
• Create build from Github and release pipeline and Databricks using Azure Devops / Harness
• Monitor Performance of BTL Jobs, resolve any issues and improve the performance metrics as needed.
• Diagnose system performance issue related to data processing and implement solution to address
• Collaborate with other teams to ensure successful integration of data pipelines into larger system architecture requirement.
• Maintain integrity and quality across all pipelines and environments.
• Understand and follow secure coding practice to make sure code is not vulnerable

EXL

Solution Architect – Data & AI Solutions

Business Analyst

QA Architect

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

CRM Marketing Specialist – English, Spanish

Lead Assistant Manager

Assistant Manager, Period End Close

Infrastructure Automation Engineer

Senior Data Scientist

Lead Assistant Manager

Senior RTR Executive

Data Analyst – Data Quality, Data Governance

Cash Application Specialist

Life Actuarial Resources

Data Engineer, BTL/ETL, SQL, DBT, Azure, Databricks