Head of Data Infrastructure

Head of Data Infrastructure & Analytics (Build an AI-native brand in Dubai) Join to apply for the Head of Data Infrastructure & Analytics (Build an AI-native brand in Dubai) role at Puffy. We are looking for a Head of Data Infrastructure & Analytics who will take the helm of our e-commerce data operations, leading a team that powers strategic decisions through enterprise-grade data infrastructure and governance. This role sits at the center of our analytics transformation—architecting robust systems, implementing data observability frameworks, and ensuring data reliability that drives confident decision-making across our high-growth D2C business. You will work closely with our Forbes-member CEO and cross-functional teams to establish the gold standard for analytics operations while enabling data-driven growth in a competitive global market. Note: Job Based Onsite in Dubai with RGG - the engine that powers Puffy’s innovation and other business ventures (Full Relocation & Visa Sponsorship Provided) We back our vision with two commitments you won’t find elsewhere: a world-class lifestyle and the world’s most advanced AI-native toolbox. Compensation: A highly competitive and transparent salary of AED 55,000 - AED 75,000/month + up to a 25% performance bonus, all tax-free. What You'll Own Data Quality Infrastructure (Your #1 Priority) Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix configuration errors Build automated validation systems that catch bugs before humans see them Implement pre-leadership QA processes with hard gates (reports don’t go out until they pass) Create monitoring and alerting: know within minutes when tracking breaks, not days later Technical Architecture & Reliability Design and maintain server-side tracking implementation for attribution accuracy Architect data pipelines that handle $2M+ monthly ad spend tracking without errors Establish technical standards: document how we ALWAYS configure X Operational Excellence Build the QA checklist: specific validation steps before any report reaches the CEO Implement data observability: automated anomaly detection, metric health dashboards Create runbooks: when X breaks, here’s exactly how to fix it in under 2 hours Enforce zero-tolerance culture: accuracy over speed, every time Manage existing Analytics Manager + 2 Data Specialists with focus on quality Train the team on proper setup procedures and validation protocols Say "no" to ad-hoc requests that compromise data quality Build scalable processes: solve problems once, systematically Strategic Projects (Once Quality is Bulletproof) Implement advanced attribution models for multi-channel $24M+ annual ad spend Scale analytics infrastructure for international expansion Who You Are Must-Have Technical Chops 7+ years in digital analytics with a proven track record of owning data quality in high-stakes B2C environments Expert-level knowledge: GA4, GTM, server-side tracking, data pipeline architecture, e-commerce tracking Diagnose and fix tracking setup errors across the stack and solve problems, not just identify them Strong technical skills: SQL expert; Python or R proficiency for data validation Data engineering knowledge: ETL/ELT, data warehousing, API integrations, event-driven architecture Experience building data quality systems: automated validation checks, data observability, monitoring frameworks The Operational Mindset Builder mindset: architecting systems > presenting Zero-bug mentality: you take it personally when bad data gets through Process-driven: document, systematize, and scale solutions Comfortable saying no: protect data quality even if inconvenient Firefighter turned fire-preventer: experience with data disasters and prevention Leadership & Communication Proven team leadership: manage 3+ person analytics team focused on quality and growth Can explain technical issues to non-technical executives Enforce standards: accuracy is non-negotiable Cross-functional influence: work with engineering, marketing, and product to fix data at the source Ideal Background You've done this before: Examples: reducing data quality incidents, architecting tracking infrastructure, automated validation, server-side tracking migration Bonus Points For Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests) Analytics engineering or data reliability engineering background High-growth e-commerce experience Attribution modeling for multi-channel marketing Data quality systems that scale internationally The Puffy DNA Be the Owner: autonomy and accountability for results Execute with Urgency: speed and precision in a dynamic environment Demand Excellence: tackle hard problems with high standards Go All-In: collaborate as one team on critical projects Ready to Shape Your Story? Click "Apply" and take the first step. Seniorities & Employment Seniority level: Director Employment type: Full-time Job function: Analyst, Management, and Marketing Industries: Retail We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr