Defined and executed the global Data & AI strategy across 20+ markets, reporting directly to the CTO and aligning initiatives with C‑level priorities. - Unified data, analytics and AI functions (starting from a 60+ staff), establishing clear roles, career paths and a cohesive organisational structure. - Mentored senior department heads (Infrastructure, Business Intelligence & Analytics, Data Products & AI) and fostered a culture of data democratisation, empowering teams company‑wide to build their own data products and insights. - Implemented a multi‑cloud, multi‑tenant data‑mesh architecture spanning Azure, Databricks, GCP and AWS; delivered an MVP that reduced processing costs and enabled scalable growth. - Established enterprise data governance and GDPR/EU AI‑Act compliance, including disaster‑recovery and security frameworks. - Delivered high‑impact programmes: - Data Area Setup & FinOps – Consolidated disparate teams and budgets, introduced cost‑optimisation processes, reducing infrastructure spend by double digits. - Campaign Effectiveness Analysis – Unified marketing and CRM data, built advanced models linking campaigns to P&L; improved ROI and strategic budget allocation. - Customer Mindset & Experience Analytics – Developed models to classify customer emotions and behaviours; informed product improvements and responsible gaming practices. - Customer Data Platform (CDP) Vision – Defined a GDPR‑compliant CDP roadmap integrating CRM, product and interaction data to enable AI‑driven personalisation and monetisation. - Brazilian Development Centre Launch – Created and integrated a new data‑product hub in Brazil, balancing global expansion with local talent acquisition and culture alignment. - GA4 Migration & Digital Analytics Modernisation – Led the organisation‑wide migration from legacy analytics tools to Google Analytics 4 (GA4), unifying customer‑journey data across web, mobile and campaign channels; enabled advanced attribution modelling and more accurate marketing measurement. - Tenant & Infrastructure Migration – Oversaw the migration of all data workloads to a new cloud tenant, coordinating with security, networking and platform teams to ensure minimal downtime and adherence to compliance requirements. - Data Security & Disaster‑Recovery Frameworks – Designed and implemented robust data‑security policies and disaster‑recovery plans, incorporating automated backups, fail‑over procedures and incident‑response playbooks. - Managed multi‑million‑euro OpEx/CapEx budgets and negotiated strategic partnerships with cloud providers.

Formulated and executed the data & AI vision for a global business unit, establishing frameworks that scaled advanced‑algorithm projects across Fortune 500 clients. - Led cross‑disciplinary teams in big‑data and AI development, focusing on customer‑centric analytics and predictive models; recruited, coached and mentored data scientists and engineers. - Developed repeatable big‑data and AI frameworks, enabling faster client delivery and consistent quality. - Delivered client solutions such as out‑of‑stock forecasting and product‑recommendation engines, improving service levels and contributing to revenue growth. - Translated complex AI concepts into business value, supporting client pitches and executive presentations. - Established Data Practice for EMEA – Built and led a dedicated data & AI practice across Europe, Middle East and Africa; standardised governance, training and delivery methodologies to scale projects across multiple markets. - Digital‑Transformation & Data Adoption Programmes – Oversaw digital‑transformation initiatives for major FMCG clients, including Nestlé and Kraft Heinz; designed B2B digitalisation roadmaps and helped client leadership adopt data‑driven decision‑making. Architected enterprise‑wide data‑science solutions, providing company‑wide thought leadership on big data, analytics and AI. - Developed and scaled data frameworks and training programmes, enabling multiple client teams to adopt a common big‑data platform. - Initiated predictive‑maintenance and forecasting projects, reducing client downtime by 15% and enhancing operational efficiency. - Mentored emerging leaders and fostered a collaborative data‑science community. Delivered data‑governance programmes and advanced‑analytics solutions within digital‑transformation engagements. - Implemented Python/PySpark algorithms and cloud architectures; built a 20‑million‑records‑per‑day big‑data pipeline and social‑media analysis models for a major retailer. - Led cross‑functional teams in designing tests, analysing results, and recommending strategic actions.

Led business development and executed six data‑driven projects in the oil‑and‑gas sector, including the legal establishment of the US subsidiary. - Designed operations and market‑entry strategies, modelling customer acquisition and cost structures; managed the local technology stack and data‑science initiatives, improving drilling efficiency and cost control. Developed proofs of concept and MVPs for VECTOR TECHNOLOGY products and managed ML teams delivering machine‑learning and advanced‑algorithm solutions aligned with business strategy. - Oversaw talent acquisition and onboarding; trained dozens of data and analytics professionals and instilled best practices. Built big‑data architecture capable of processing 20 million daily entries and led a team of Data Engineers. - Developed social‑media analysis models and logical structures for data storage and retrieval; delivered actionable insights to executive leadership.

Developed and implemented the company’s product‑launch strategy, leading cross‑functional teams from concept to market. - Optimised operations and supply‑chain processes, increasing productivity and reducing costs across the organisation. Created the data and analytics tech stack and implemented the Analytics team, supporting commercial expansion, CRM and marketing campaigns