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

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

Backend Engineer

• Design and build RESTful and event-driven backend services in Python and/or Node.js that support multi-agent orchestration, HITL workflows, and exception routing across finance processes.
• Architect and implement the workflow state management layer — handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent.
• Implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing.
• Develop and maintain APIs that expose platform capabilities (exception management, approval routing, notification triggers, audit trail) to downstream consumers and front-end applications.
• Ensure platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards — with alerting on SLA breaches, queue depth, and service health.
• Collaborate with AI engineers to integrate LLM-based services and agent outputs into backend workflows, handling model responses, confidence thresholds, and fallback routing.
• Implement security best practices — IAM role-based access, secrets management via AWS Secrets Manager, data encryption at rest and in transit, and audit logging for compliance.

Backend Engineer – Node.js, Python

Auditor

• Review the clinical information/medical record and summarize relevant clinical information based on set of guidelines/criteria
• Perform best practice reviews and identify areas for improvement
• Check on compliance with CMS guidelines
• Taking initiatives and active participation in team developmental activities
• Able to correlate the lab results with the clinical features and treatment
• Maintain and update reports as required
• Ensure meeting productivity and quality targets
• Ensure availability for meeting/calls as required
• Liaison with the program/project manager as required

Executive – Clinical Auditor

• Support the execution of international data initiatives by enabling data-driven decision making.
• Help translate business needs into analytical solutions and monitor operational performance.
• Provide actionable insights through reporting and scorecards across different global markets.

International Data Analyst

Performance Marketing

• Campaign Developer is primarily responsible for execution/implementation of marketing campaigns using RPM Direct proprietary campaign management tool (CampaignDirect) and/or adhoc programmatic workflows.
• Design, develop, and optimize complex SQL queries, views, stored procedures, and packages in Oracle
• Support database-driven marketing campaigns, including audience selection, segmentation, suppression logic, and tracking
• Collaborate with marketing, analytics, and data science teams to translate business requirements into technical solutions
• Provide production support, troubleshooting, and root-cause analysis for data issues
• Ensure data accuracy, integrity, and performance across large, high-volume datasets

EXL

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

Backend Engineer – Node.js, Python

Executive – Clinical Auditor

International Data Analyst

Assistant Manager – Campaign Developer