Head of Data Infrastructure & Analytics (Build an AI-native brand in Dubai)

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

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