ApprovalMax

Human Resources

• Serve as the trusted HR partner to the business, building credible, high-trust relationships that enable open dialogue on people matters.
• Contribute to the design and execution of people strategies aligned to business priorities, including organisational design, workforce planning, and capability development.
• Support senior leaders in building high-performing teams, advising on team structure, role design, performance management, and succession.
• Provide commercially grounded HR counsel on a range of issues including compensation decisions, restructuring, and workforce change.
• Own and manage employee relations cases across your business units, including performance improvement plans, disciplinaries, grievances, and absence management.
• Provide confident, pragmatic guidance on ER matters across multiple jurisdictions including the UK, EU, North America, Australia, and South Africa, escalating to the Head of HR where appropriate.
• Champion a strong, inclusive, and high-performance culture across geographically dispersed teams.

Global HR Business Partner

Data Engineer

• Reporting to the Data Platform Lead, you will be a hands-on senior engineer responsible for building and maintaining ApprovalMax's enterprise data platform.
• Own the design and delivery of production-grade data pipelines, drive engineering quality across the data stack, and act as a technical mentor for the broader analytics team.
• Design, build, and maintain scalable ELT pipelines, ingestion processes, and transformation layers.
• Write production-grade Python for orchestration, custom ingestion, and data transformation logic.
• Investigate and resolve pipeline failures within agreed SLAs; lead root-cause analysis and implement durable fixes.
• Implement and maintain data quality frameworks across the platform; ensure critical data assets have explicit quality contracts.
• Partner with Product Engineering, RevOps, and Finance to define and maintain data contracts.

Senior Data Engineer

Analyst

• Partner closely with Marketing/Revenue/Product leadership to understand priorities and deliver actionable insights.
• Build and maintain dashboards, reports, and analytical models (Power BI, Amplitude, or similar).
• Translate ambiguous business questions into structured analysis and clear recommendations.
• Combine product, revenue, marketing, and operational data to uncover cross-functional insights.
• Establish analytics standards, metric definitions, SLAs, and governance for the Marketing/Revenue/Product domain.
• Drive self-service analytics by creating clear documentation and automated reporting.
• Use LLM-assisted tools and AI coding agents to accelerate analysis, exploration, and documentation.
• Mentor junior analysts and contribute to scalable analytics workflows.

Senior Analyst

• Own and operate the enterprise data platform (Azure Data Lake Gen2 + Databricks).
• Design and maintain scalable data pipelines, ingestion processes, and transformation layers.
• Ensure data reliability, security, governance, and performance across the platform.
• Enable self-service analytics by supporting analysts with robust data models, marts, and tooling.
• Lead development of an AI-ready data platform, including semantic layers and infrastructure for ML/LLM use cases.
• Manage and mentor the Data Engineer, setting technical standards and priorities.
• Drive engineering best practices: CI/CD, testing, observability, and data quality monitoring.
• Oversee platform roadmap, architecture decisions, and cloud cost optimisation.