Director of Data

Summary

Join Time Doctor, a thriving SaaS company with a global team, as their visionary Director of Data. Lead and grow a team of 7+ data professionals, driving the company's data-driven future. This role focuses on developing data systems for actionable insights and creating customer-facing data products. You will report to the Chief Product Officer and be responsible for delivering product roadmaps, establishing key initiatives, and overseeing data pipelines. The position also involves leading a high-performing team, optimizing data modeling, developing actionable insights and data science solutions, and building a bespoke enterprise reporting function. Success will be measured by KPIs such as reduction in time-to-insight and improvements in data quality and customer satisfaction.

Requirements

• 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

Responsibilities

• 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
• 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
• 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