Own revenue analytics and reporting infrastructure to drive go-to-market efficiency. Build and maintain dashboards, ensure data accuracy across the revenue tech stack, perform cohort analyses and forecasting, automate reporting, analyze distribution productivity, pipeline health, and onboarding efficiency, and collaborate with finance on revenue recognition and bookings reconciliation.

The Operations Specialist will manage operational procedures, oversee underwriters, ensure compliance, handle financial reporting, and improve internal controls while communicating with various teams.

The Operations Manager will oversee member onboarding, manage operational procedures, ensure compliance, resolve data queries, and improve processes in a fast-paced environment.

Lead the IT Internal Audit function, develop IT audit plans, manage audit resources, and provide advisory support to enhance controls and compliance.

The Operations Credit Control Manager is responsible for managing cash collections and debt management, improving credit control processes, and maintaining relationships with underwriters while overseeing an outsourced credit control team.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.

As a Senior Pricing Actuary, evaluate MGA opportunities for profitability, provide actuarial support, and collaborate with various teams to enhance services.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Lead a full-stack engineering team to deliver AI/GenAI-enabled SaaS features. Manage project delivery, Agile processes, stakeholder dependencies, team development, production reliability, and technical roadmap in partnership with architects and data science.

As Product Governance Manager, you ensure product lifecycle delivery, validate approvals, manage information reporting, enhance processes, and engage stakeholders in compliance with regulatory standards.