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
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
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