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Head of Data

Posted September 29, 2025
Full-time Mid-Senior Level

Job Overview

The role

We are looking for a Head of Data to lead our data team and drive data-driven decision-making across the company, including our product data strategy, governance, and insights at ApprovalMax. This role is hands-on today, but also requires leadership ability as the team grows. You will work with a lean team (Data Analysts, Data Engineers, Data Pipeline Engineer and Product Analysts) while directly shaping how we capture, structure, and use data across the company. This role requires a mix of technical expertise, leadership, and stakeholder management to optimize processes, improve data quality, and support strategic initiatives. You will also own the data lake (Azure Data Lake Gen2 + Databricks), ensuring it is the trusted source for both product and business analytics.

 

Key Responsibilities:

 

Product Data & Governance

  • Define and enforce data governance standards (accuracy, consistency, compliance).

  • Own event tracking and product instrumentation strategy.

  • Build and maintain a unified product data model in the data lake.

  • Ensure proper documentation and scalable data quality processes.

Data Processes & Infrastructure

  • Oversee and optimize ETL/ELT pipelines to ensure data accuracy and efficiency.

  • Maintain and improve data warehousing (Azure Data Lake Gen2, Databricks).

  • Support data governance and documentation standards.

Analytics & Business Insights

  • Deliver self-service dashboards (Power BI, Amplitude) and automated reporting for stakeholders.

  • Provide research support for ad-hoc business questions and strategic projects.

  • Enable data-driven decision-making across different teams.

Product Analytics

  • Deliver insights on product usage, adoption, retention, and engagement.

  • Partner with Product Managers and Engineers to guide roadmap priorities with data.

  • Conduct deep-dive analyses to uncover growth and UX opportunities.

Data Lake Ownership & Collaboration

  • Oversee and optimise ingestion/ETL in collaboration with the Data Pipeline Engineer.

  • Ensure the data lake supports both product and business analytics teams.

  • Partner with Business Analysts to provide governed, reliable data for company-wide reporting.

Stakeholder & Project Management

  • Partner with executives, product managers, and engineers to align analytics with business goals.

  • Facilitate planning sessions, Jira task management, and agile workflows (Kanban/Scrum).

  • Communicate complex insights in a clear, actionable way to non-technical stakeholders.

Leadership & Team Development

  • Lead, mentor, and support the current data and product analytics team.

  • Conduct regular 1:1s, performance feedback, and career development planning.

  • Foster a collaborative, high-performance culture.

  • Shape the function’s structure and processes as the team expands.

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