Experienced leader in data and analytics
Have led data programs for fifteen years in a variety of industries. Experienced in data architecture, product analytics, machine learning in product. Have also built marketing attribution models and strategies for e-commerce using event tracking.
I have been in a leadership role for more than a decade and have built data teams from the ground up for several organisations. I am experienced in hiring and training leaders as well as individual contributors for all areas of data
I have led data analytics, science, and engineering for fifteen years, from seed through public companies. I am happy to discuss all aspects of data with you: how to integrate in company processes, technical architecture, hiring and building your team, etc
I have built a number of marketing automation tools and strategies to support organisations, including: - Automated A/B testing for landing pages - Marketing attribution modelling and steering - Automated content selection / CRM for both email and web
Working closely with product managers, engineers, and designers, I have helped facilitate a data-driven approach towards product design and optimization
I have been developing in SQL and creating data models for my entire career and have worked in commercial onsite (Vertical, Teradata), open source (Postgres, MySQL), and cloud (Snowflake, Bigquery) platforms
I have used Python to develop machine learning algorithms and services, data platforms and integrations, and tooling to enable end users for data and analytics
I have worked with and managed deployments of Tableau for over a decade, including architecture, building content, and training and enablement. Using Tableau I have developed company data strategies for between 200 and 2000 people organisations
Independent consultant specialising in data strategy, architecture and organisational development. I work with organisations undergoing significant change, helping them design modern data platforms, improve decision-making capabilities, develop teams and implement practical solutions. Engagements range from advisory and coaching through to hands-on architecture and delivery leadership.
Initially engaged to assess the organisation's data function and identify opportunities to improve team effectiveness, technical foundations and business impact. Following this assessment, joined as Head of Data to lead the transformation. Led a team of analysts, engineers and data scientists supporting product, customer and commercial initiatives. Key contributions included: • Reorganised and coached the data team, improving engagement, stakeholder relationships and overall effectiveness. • Modernised the data platform and engineering practices, introducing infrastructure-as-code, cloud-native architecture and more reliable delivery processes. • Delivered new customer-facing analytics capabilities and expanded the organisation's use of data to support decision-making. • Established stronger collaboration between data, product and business stakeholders, helping remove delivery bottlenecks and increase the impact of the team's work. • Mentored analysts, engineers and data scientists through hands-on technical leadership, code review and practical coaching.
Partnered with the KNVB to design and implement a modern data platform capable of supporting the organisation's future analytics, reporting and data engineering needs. The engagement covered strategy, architecture, technology selection, implementation and team enablement, with a focus on reducing dependence on fragmented legacy and vendor-managed solutions. Key contributions included: • Designed and delivered a modern cloud-based data platform, establishing a scalable foundation for analytics, reporting and data product development. • Led technology evaluation and architecture decisions, creating a platform that balanced reliability, maintainability and long-term flexibility. • Implemented infrastructure automation, modern data engineering practices and deployment processes to improve operational efficiency and reduce technical risk. • Worked closely with internal stakeholders to define requirements, establish delivery priorities and build organisational support for the new platform. • Trained and mentored team members on modern data engineering practices, platform ownership and AI-assisted development workflows. The platform has since become the preferred foundation for new analytics initiatives and is actively replacing legacy systems across the organisation.
Supported the organization's data professionals with coaching, process improvement, technical leadership, and hiring strategy.
At Miro, I lead efforts in both data and analytics engineering to ensure the organisation had data to work with which was accurate, complete, and reliable; my metric was trust from our users. In this role I led the efforts of 15 engineers to build data models, observability, data integration, and mechanisms to guarantee quality
Built and scaled Navan's global data organisation, transforming data from a fragmented reporting function into a strategic capability supporting decision-making, product development and machine learning across the business. Over four years, grew and led a multidisciplinary team of analysts, engineers and data scientists while establishing the platforms, practices and operating model required to support a rapidly expanding global organisation. Key achievements included: • Built a world-class data organisation spanning analytics, engineering and data science, creating the foundations for a more data-driven and AI-enabled company. • Led the design and implementation of a modern cloud data platform, providing a scalable and reliable foundation for reporting, analytics and machine learning. • Unified data across multiple acquisitions, establishing common data models, shared platforms and consistent business definitions across the organisation. • Increased adoption of self-service analytics throughout the business, enabling teams to make faster and better-informed decisions with less dependence on specialist support. • Established data governance, operational standards and delivery processes that improved trust, reliability and scalability as the company continued to grow. • Partnered closely with executive leadership to align data investments with strategic business objectives and long-term company growth.
In this role I grew the team from 4 to 30 people across all data disciplines, supporting the entire organisation's data needs and capabilities. I was responsible for overall data strategy as well as execution in engineering, ML services, and analytics
Built and led TravelBird's data function from the ground up, transforming a largely fragmented reporting landscape into a company-wide data platform supporting analytics, experimentation, machine learning and decision-making across the organisation. Responsible for strategy, architecture, team development and hands-on implementation, while reporting directly to the CTO. Key achievements included: • Built the data team, platform and operating model from scratch, establishing data as a core capability across a 250-person organisation. • Developed a self-service analytics platform used broadly across the business, enabling more than half of employees to answer their own analytical questions without specialist support. • Led the introduction of machine learning into core product and marketing workflows, significantly improving customer engagement, conversion and commercial performance. • Designed and implemented recommendation, forecasting, pricing and attribution systems that directly influenced product selection, customer experience and profitability. • Mentored and developed a high-performing team of analysts, engineers and data scientists, many early in their careers, who went on to senior roles across the industry. • Remained deeply involved in technical implementation, contributing to architecture, data modelling, infrastructure and machine learning systems alongside the team.
Progressed from CRM Manager to Director of Analytics, helping establish analytics, business intelligence and data science as core organisational capabilities. Led the development of large-scale analytics platforms supporting more than 200 million monthly users and over 1 billion daily events. Key achievements included: • Built and developed analytics, business intelligence and data science teams while expanding the organisation's data capabilities. • Introduced modern data warehousing, reporting and predictive modelling practices, enabling more data-driven decision-making across the company. • Developed customer segmentation, recommendation and forecasting models that improved engagement, retention and operational planning. • Helped establish a company-wide culture of data literacy through training, mentoring and cross-functional collaboration.
Progressed through a series of analytical and leadership roles spanning finance, business analysis and operational strategy. Developed expertise in data-driven decision-making, customer analytics, financial modelling and organisational performance within a large-scale telecommunications environment. Key achievements included: • Built analytical tools and reporting solutions that improved operational efficiency and decision-making. • Developed customer segmentation, behavioural analysis and performance measurement frameworks used to support commercial and operational initiatives. • Led teams responsible for financial and business analysis, supporting senior leadership on strategic planning and performance improvement. • Established the analytical and leadership foundations that would later shape my career in data, analytics and technology.
