• Leads Datasparqs fantastic engineering team to build operational AI + BI services across multiple cloud providers• Helps teams developing enterprise data warehouses move towards a data service supporting both reporting and AI data products • Leads the definition of internal engineering standards and training materials • Creates teams with analytical, engineer, scientist and product skill sets to build complex AI data products• Defines the recruitment process and career framework for Associate to Principal level team members• Designs the service model for managing data warehouses and AI services (both batch and near time)

• Co-creator of https://callhouston.io - a data orchestration API, designed to facilitate serverless data platforms & promote component based design• Assist current & prospective clients in understanding the benefits of cloud based analytics & applications via engaging demonstrations• Interview new talent from director to graduate level, assessing both technical & non-technical skillsets• Assist clients in designing practical operating models for data teams• Design enterprise AI + BI solutions across Azure and GCP• Enjoys submitting pull requests when possible

- Utilising Python, Terraform and CI/CD tools, develop deployable serverless data platforms. Enabling rapid business insight and reliable predictive modelling- Present regularly, to both current and prospective clients - complex cloud technology in a digestible format for senior business partners- Delivered via agile methodology, multiple production grade data platforms within 3 months- Converted AI predictive model from proof of concept to managed service within a month. Client delighted with reliable daily benefits- Create & lead engaging technical training - both internally and externally, including: GCP products, Kubernetes & Python web applications- Interview potential new talent at a senior level, ensuring both technical and non-technical skillsets are met for a high performing team.

- Develop and deliver analytics strategies, co-ordinate projects to solve complex business problems. I have successfully delivered multiple projects in a leadership role, using data from various areas of the business. - Replicated business application logic at scale in GCP BigQuery, simulating limitless cost models to optimise business decisions. To achieve this, I designed and developed several components which solved: vehicle configuration rules (explicit & implicit) and multi vehicle part selection. - Industrialised team data processes in order to reduce costs, improve efficiency and enhance quality. Introduced and coached team in Docker, wrapping analytics processes into deployable Jobs within Kubernetes.- Introduced team to workflow tools (Luigi - Python), now the platform for automating analytics projects. Coached internal and external teams on merits of tested, repeatable, idempotent processes. - Developed automated data test suite using Python & SQL, ensuring high quality project output.

- Responsible for the assessment of vehicle connectivity as an attribute, assisting with system design and performing both automated and physical tests.- Developed an API in Node.js for storing connectivity test results from around the world.- Led a small team of contract engineers performing automated tests on the telematics module. As part of this project I designed a new automated test architecture to reduce regression test time.

- Responsible for launching WiFi Hotspot across vehicle range, working with the supplier to solve software and system design issues. - Completed several placements across the business, including roles in purchasing, body and powertrain.