Director of Data

Your Responsibilities

Reporting directly to the Chief Product Officer, you will:

Deliver the Product and Technical Roadmap for Data

• Deliver SaaS product reporting, Business intelligence and Customer reporting solutions on time and to budget
• Establish and prioritise key initiatives to improve data architecture and analytics capabilities.
• Ensure timely delivery of projects in line with business objectives, including measurable outcomes such as improved data quality, faster query performance, and enhanced customer insights.
• Oversee the design, implementation, and optimisation of data pipelines, integrations, and reporting tools.
• Partner with engineering teams to ensure scalable, secure, and reliable infrastructure for all data-related services.

Lead a High-Performing Team

• Recruit, mentor, and manage data engineering, data analysis and data science professionals.
• Foster collaboration and high performance through direct and matrix leadership models to deliver results across technical and business domains.

Optimise Data Modeling and Accessibility

• Implement best practices for data architecture to ensure it meets the evolving needs of internal departments and external customers.
• Deliver data solutions that enable Sales, Marketing, Finance to achieve key business objectives and support business growth

Develop Actionable Insights and Data Science Solutions

• Lead initiatives to enhance analytics and data science capabilities, driving innovation in predictive modeling, machine learning, and customer insights.
• Roll out product data driven features to improve product differentiation and customer experience.

Build a Bespoke Enterprise Reporting Function

• Lead the development of tailored reporting solutions to meet the needs of enterprise-level clients.
• Ensure reporting aligns with enterprise expectations for accuracy, timeliness, and customisation.

Measurable Business Impact Through Data

• Define and track KPIs for the Data function, such as:
  • Reduction in time-to-insight for internal teams
  • Efficiency metrics of the data delivery function using DORA metrics or similar
  • Improvement is data quality and understanding via Business Intelligence function
  • Product reporting capability delivered per year
  • Improvement in customer satisfaction with reporting and analytics capabilities.

Collaborate to Drive Business Outcomes

• Work cross-functionally with Product, Engineering, Sales, and Marketing to align data initiatives with broader business goals.
• Ensure data-driven decision-making increases efficiency and revenue impact across departments.
  
  Required Skills & Experience
• Leading a data team to success in a SaaS Growth environment
• Advanced degree (Master’s or PhD) in a quantitative field such as mathematics, physics, computer science, data science, or statistics—or equivalent professional experience.
• Proven experience managing a data teams of 10+ members in a SaaS environment.
• Hands-on experience with data governance in a scaling SaaS company.
• Proven ability to hire, lead, and inspire Data Scientists, Analysts, and Engineers, scaling teams effectively.
• Solid understanding of architectural data concepts, including API design, data pipelines, relational/NoSQL databases, REST, and ETL processes.