Doha, Qatar
20 years turning data into decisions. Today, with AI doing the heavy lifting. Milan → Dublin → Dubai → Berlin → Abu Dhabi. Accenture → AMTSuybex → FTI → talabat → Delivery Hero → VP Data at STARZPLAY. At STARZPLAY I run Data, Growth Analytics and Finance Ops on a modern AI stack - LLM copilots in the analyst workflow, agentic automation on finance ops, GenAI forecasting on subscribers and ARPU, anomaly detection on payment gateways. The craft hasn't changed. The leverage has. My POV: companies don't have a data problem, they have a decision problem. Dashboards don't fix it. Neither does bolting AI onto a broken stack. Better questions, tighter cadence, a modern platform, and a team that knows the business do. DMs open if you're moving from "we have dashboards" to "we decide with data", or from "we have copilots" to "our copilots actually ship decisions." Same for senior data seats in the region. Columbia CMO. DIT MBA & MSc. Bsc Polytechnic of Turin. Advising Heriot-Watt Dubai.
Lead the unified Data, Growth Analytics, and Finance Operations function at MENA's leading subscription streaming platform. Accountable for turning operational, commercial, and financial data into the decisions that run the business, from pricing and retention to payment integrity and unit economics. Consolidated billing, payment, and subscription analytics under one operating model, disciplined reporting frameworks, scenario-based QA, exception reporting, and reconciliation to protect revenue and catch leakage before it compounds. Deployed AI across the analytics stack: LLM-powered exception detection on payment gateways, GenAI copilots for analyst productivity, and agentic automation on recurring finance-ops tasks, cutting manual cycles and freeing the team for higher-leverage work. Partnered with commercial, finance, and executive leadership on a single source of truth for growth metrics, cohort behaviour, and payment health, so leaders debate strategy, not numbers. Rebuilt forecasting for subscriber acquisition, churn, and ARPU by combining historical lessons with ML- and GenAI-assisted methods, improving forecast accuracy and shortening planning cycles. Optimised unit economics across commercial payment gateways through tighter batch integrity, expirations handling, and automated anomaly detection.
Built the growth analytics engine for MENA's flagship streaming platform. Mandate: turn fragmented product, marketing, and subscriber data into an operating cadence the exec team could actually run on. Stood up end-to-end analytics for acquisition, engagement, retention, and monetization, connecting product telemetry, CRM, billing, and finance into a single commercial picture. Introduced GenAI and LLM-based tooling into the analytics workflow: automated insight generation on weekly business reviews, natural-language querying for non-technical stakeholders, and AI-assisted segmentation for marketing cohorts. Delivered market and competitor analyses that shaped pricing, content investment, and regional expansion calls at C-level. Coached the analytics team from a reporting function into a decision-support function, the kind executives pull up in the room, not after it.
Led analytics strategy and delivery across 9 markets (foodora, yemeksepeti, and partner brands) supporting commercial, product, operations, and marketing at regional scale. Built a single analytics operating model across 9 markets, common metric definitions, forecasting methodology, and executive reporting cadence, so regional leadership could compare markets on like-for-like terms for the first time. Drove signature initiatives on rider efficiency, restaurant economics, customer retention, and marketing ROI, turning ambiguous strategic questions into quantified, decision-ready answers. Piloted early AI-augmented analytics (2024): LLM-based tooling for ad-hoc querying, automated exception detection, and analyst productivity, setting the foundation I've since scaled at STARZPLAY. Led cross-disciplinary teams of analysts, data scientists, and BI engineers distributed across Europe and Turkey.
Accountable for analytics strategy across 8 Delivery Hero markets in Europe and Turkey. Built the function from a fragmented set of local teams into a coordinated regional capability. Developed analytics-led strategies for customer acquisition, retention, and cohort-level monetization across markets with very different maturity and unit economics. Orchestrated analytics inputs for product, CRM, and paid media, turning campaign spend into measurable incremental revenue instead of vanity volume. Instituted cross-market playbooks so tactics that worked in Turkey or Germany could be tested and scaled in smaller markets without starting from zero.
Ran marketing analytics for the region's #1 food-delivery platform. Owned the measurement and decision layer behind acquisition, retention, and lifecycle marketing. Drove revenue and retention uplift through end-to-end analytics on paid media, CRM, and lifecycle campaigns, attribution, incrementality, LTV, and payback. Shifted meaningful spend toward higher-ROI channels and cohorts with evidence-based cases, moving the team beyond last-click illusions. Partnered with commercial leadership on pricing, promotions, and retention economics through COVID and the step-change in online demand.
Directed market insights and transformation projects for major clients, leading insight-generation and data-driven change.
Lead mobile technology, data insights and marketing expertise to help brands grow customer connections, deepen relationships and achieve sustained growth in sales and market share. Performed data & campaign monetization with some of biggest FMCG brands in the world and count Unilever, Kellogg’s and PepsiCo, with geo presence in China, India, Indonesia, Thailand, Philippines, Vietnam, South Africa, Nigeria, Kenya, Brazil, and Russia.