Jobs at REA Group

Owns Finance Operations data, systems, reporting, workflows, and business requirements. Partners with finance and technology teams to improve data quality, reporting reliability, process efficiency, automation readiness, and AI-enabled use cases. Defines metrics and controls, identifies process improvements, supports platform enhancements, and enables adoption through documentation, testing, training, and stakeholder engagement. The role focuses on Accounts Receivable, Accounts Payable, Payment Solutions, and high-volume transactional environments.

Build and maintain AI-powered content moderation services, including detection pipelines, LLM-based evaluation, APIs, data workflows and reviewer tools. Contribute to design, delivery, production support, and responsible use of AI.

Owns enterprise strategic workforce planning, including three-year supply and demand forecasting, capability taxonomy, scenario modelling, workforce and location strategy, and organization design governance. The role establishes workforce planning as an enduring capability, advises executive leadership, defines talent system architecture for mobility and succession, and develops capability-gap strategies across build, buy, bot, borrow, and bond. It also coaches People and Talent teams and builds support for future workforce analytics capabilities.

Lead implementation of the Realtair platform for new customers, managing discovery, configuration, change management, onboarding workshops, and transition to Customer Success. Define success metrics, create implementation plans, monitor milestones, remove blockers, build stakeholder relationships, and collaborate with Sales, Product and Support to improve onboarding outcomes and achieve KPIs.

Lead architecture and delivery of scalable data solutions across squads. Design and optimise ETL/ELT workflows, mentor engineers, collaborate with data scientists and stakeholders, drive data modelling, orchestration, governance and strategic roadmap for the data platform.

Lead and support Customer Support leaders to deliver operational excellence across onboarding, fulfillment, support and payments. Drive metrics-driven performance, forecasting, capacity planning, process improvement, stakeholder collaboration and change initiatives to improve customer experience and scalable growth.

Supports the Financial Services Product and Technology portfolio as a finance business partner. Responsibilities include budgeting, forecasting, long-range planning, month-end close, variance analysis, software development cost capitalization, cost-driver analysis, stakeholder partnering, financial risk management, reporting improvements, SOX compliance, and ad hoc financial modeling.

Design, implement, test and deploy cloud-based data products and services. Maintain and modernise systems, ensure reliability, security and scalability, build ETL/data pipelines, tune performance, and support production environments.

Design, build and maintain scalable B2B and D2C commerce platform services. Write clean, tested code, participate in design and code reviews, troubleshoot production issues, own features through deployment and monitoring, use AI coding tools, and collaborate with cross-functional teams. Participate in on-call rotations and drive continuous improvement.

Lead and shape solution architecture across the Listings portfolio, stay hands-on with prototypes and critical code, align technical strategy across multiple squads, drive modernization and resilient platform solutions, participate in product discovery, and mentor senior engineers to elevate engineering practices and system health.

Lead engineering for Data & AI within Financial Services, shaping strategy, building scalable data platforms, ensuring operational excellence, governance and responsible AI adoption. Partner with Product and Architecture, hire and grow leaders, coordinate multi-team delivery and support cross-functional programs.

Design, build and maintain data pipelines, models and APIs across ingestion, transformation and consumption. Lead technical design and architecture, resolve data quality and performance issues, support production with monitoring and automation, and mentor engineers. Work with Airflow/Breeze, BigQuery, Kafka, TypeScript/Node or Python, and cloud/DevOps tooling to deliver reliable, scalable property data platforms and APIs.