Head of Data

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.

Technical Expertise

• Advanced SQL (complex queries, optimisation).

• Proficiency in Python (Pandas, APIs, data processing).

• Proven track record with product analytics tools (Amplitude, Mixpanel, or similar).

• Experience owning or managing a cloud data lake (Azure Data Lake + Databricks preferred).

• Power BI (expert-level) – building dashboards, DAX, data modeling.

• Familiarity with Scala, Amplitude is a plus.

• Background in data governance and product instrumentation.

• Experience mentoring or managing other analysts/engineers.

Soft Skills & Mindset

• Hands-on builder with strong leadership with the ability to mentor and inspire a team.

• Greedy for data — driven to dig deep, find signals, and quantify impact.

• Detail-oriented with a focus on data accuracy and business impact.

• Process-minded: able to design workflows that scale.

• Result-driven – prioritizes actionable insights over perfect analysis.

• Collaborative: bridges product, engineering, and business analytics.

• Team player – collaborates effectively across departments.

• Strong communicator: translates complex data into actionable insights.

Nice-to-Have

• Experience with predictive modeling, A/B testing, or machine learning.

• Predictive modelling or ML exposure.

• Background in product analytics, marketing analytics, or financial analytics.

• Familiarity with GDPR/CCPA compliance.

What we offer:

• 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