Head of Data

Job not on LinkedIn

September 30

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ApprovalMax

Finance • Accounting • SaaS

ApprovalMax is a comprehensive platform that automates accounts payable and receivable processes, enhancing financial control through approval workflows and audit trails. It integrates with major accounting platforms like Xero, QuickBooks Online, and NetSuite, serving industries such as construction, healthcare, and retail. With features like fraud detection and fully digitized workflows, ApprovalMax helps organizations, accountants, and bookkeepers streamline financial operations, improve compliance, and reduce process risk, all from a centralized, user-friendly interface.

51 - 200 employees

💸 Finance

☁️ SaaS

📋 Description

• Define and enforce data governance standards (accuracy, consistency, compliance) • Own event tracking and product instrumentation strategy and build unified product data model in the data lake • Build and maintain documentation and scalable data quality processes • Oversee and optimise ETL/ELT pipelines and maintain data warehousing (Azure Data Lake Gen2, Databricks) • Deliver self-service dashboards (Power BI, Amplitude) and automated reporting for stakeholders • Provide research support for ad-hoc business questions and strategic projects • Deliver product analytics insights (usage, adoption, retention, engagement) to guide product roadmap • Oversee data lake ingestion/ETL in collaboration with Data Pipeline Engineer and ensure reliable governed data for company reporting • Partner with executives, product managers, and engineers; facilitate planning, Jira task management, and agile workflows • Lead, mentor, and support the data and product analytics team; conduct 1:1s, performance feedback, and career development planning

🎯 Requirements

• Advanced SQL (complex queries, optimisation) • Proficiency in Python (Pandas, APIs, data processing) • Experience with product analytics tools (Amplitude, Mixpanel or similar) • Experience owning or managing a cloud data lake (Azure Data Lake Gen2 + Databricks preferred) • Power BI (expert-level) – building dashboards, DAX, data modelling • Familiarity with Scala • Background in data governance and product instrumentation • Experience mentoring or managing analysts/engineers • Experience overseeing ETL/ELT pipelines and data warehousing • Stakeholder management, communication, and leadership skills • Nice-to-have: predictive modelling, A/B testing, machine learning experience • Familiarity with GDPR/CCPA compliance

🏖️ Benefits

• Growing international business with 10,000+ subscribers • Regular performance-based compensation reviews • 26 days paid time off • 1 additional day off for your Birthday • Remote office assistance • Service years recognition financial reward • Employees can work remotely

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