I help companies improve their data and analytics capabilities so that they can pursue business growth more effectively and make data-informed decisions. Working backwards from my clients’ business objectives, I identify the people and technology required to develop fit-for-purpose data infrastructure and tooling, and hire the right talent for the right roles to analyse the data and generate actionable insights.Recent engagements include:• Hiring a Machine Learning Engineer for an early-stage medical tech start up• Technical Advisory • Developing a business-centric data strategy and architecture • Hands-on implementation of a cloud-native data and technology platform for a global supply chain consultancy• Assisting fast growing start ups and SMEs with organisational design and hiring out end-to-end data and technology teams

AirNest is a fast-growing hospitality management service specialising in boutique properties in the Canary Islands. AirNest uses advanced technology to optimise operations and enhance the guest experience, positioning itself as a leader in boutique hospitality.

Organisational Design and Team-Building• Created the Data Analytics & Technology team with defined roles and responsibilities within the team and broader organisation. • Led recruitment of Business Analysts and Analytics Engineer, from drafting job description to developing technical assessments and case studies, ensuring candidate suitability for supply chain analytics advisory and data engineeringData & Technology - Architecture, Build, and Governance• Designed architecture and built cloud-native data and technology stack on AWS • Leading cybersecurity deployments and information security management policies towards ISO27001 CertificationAnalytics and Automation• Created multi-year analytics and automation roadmap with hands-on implementation for migration to serverless ETL analytics platform (AWS Glue, AWS Step Functions, Amazon RDS Postgres, Amazon QuickSight), resulting in greater actionable insights and thousands of labour hours saved per year• Created executive KPI reporting deck enabling transparency of top-line business performance, goal setting, and root cause analysis• Developed best practices in data governance, KPI generation, and visualisation with Analytics Engineer and Business Analyst to create timely and accurate business reporting suite

Technology Stack Architecture • Defined and implemented the technology stack for the MVP, leveraging an event-driven, serverless architecture on AWS Data Talent Acquisition • Led recruitment of Senior Machine Learning Engineer, from drafting job description to developing technical assessments and case studies, ensuring candidate suitability for oral care salivary diagnostic testing kit MVP project.Strategy Advisory• Advised founders on go-to-market strategy, using customer insights and feedback to refine product offering.

• Developed data and technology strategy and 12 month roadmap to achieve business objectives and growth targets• Designed the Heroes Data and Technology (D&T) organisation, hired, and led a multinational teamconsisting of managers, Analytics Engineers, Data Engineers, Technical Product Managers, Solutions Architects, and IT Administrators• Deployed role and levelling guidelines, success measures, and compensation ranges for D&T• Optimised data cost structure and established partnerships with AWS for reconfiguring data architecture• Delivered Product-led sprint and prioritization process with BRD and UAT frameworks to optimise outputs for business stakeholders

• Designed and led the Data Analytics, Insights, and Science team for Amazon Fresh Stores International• Developed and implemented data strategy and 18 month roadmap• Hired and led a multinational team 15+ BI Engineers and Business Analysts • Led qualitative initiatives to create frameworks for customer journeys and lifecycles, shoppermissions, customer cohorts via fieldwork, benchmarking, focus groups, interviews, and mysteryshops• Developed KYC analytical models such as RFM; geospatial analytics (catchment areas, demographics); cohort analysis and customer behaviour (retention, churn, basket analysis); and campaign attribution to refine marketing and commercial strategy