Be responsible for the teams (each with their own manager/technical lead) that own the 3 “pillars” of data at Forto: Data Engineering, Data Analytics and Data Science, bringing them into a unified org whilst also encouraging and respecting their specialised skills
Ensure that the Data org operates a Centre of Excellence, supporting and educating the “customers” of data across the business.
Break down siloes and form strong working relationships with stakeholders.
Define and shape a data strategy fit for purpose across our analytical and agentic business needs.
Own data governance and quality. Establish the policies, standards, ownership model, and forums that make data trustworthy. Manage day-to-day compliance with GDPR and emerging AI regulation, and set practical guardrails for data and AI use.
Sponsor the data platform. Work with engineering and architecture to maintain a reliable, performant, cost-aware platform across ingestion, storage, transformation, BI, and ML. Make build/buy/partner recommendations and manage key vendor relationships.
Scale analytics and AI capability. Define how use cases are sourced, prioritised, productionised, and governed. Curate a portfolio that balances quick wins, strategic bets, and long-term capability building. Champion self-service BI without losing control of metrics and a single source of truth.
Partner across the business. Build strong working relationships with leaders in every function. Translate technical choices into commercial language, resolve cross-functional disputes over data ownership and priorities, and make sure the function is genuinely useful to the people it serves.