Overview:

As our Head of Data Infrastructure & Analytics, you 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 puts you 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. Working closely with our Forbes' member CEO and cross-functional teams, you'll establish the gold standard for analytics operations while enabling data-driven growth in a competitive global market.

Compensation: Competitive salary range of AED 55,000 - AED 75,000/month based on experience and qualifications, with opportunity for up to 25% performance bonus, all tax-free. This transparent range represents our full compensation spectrum, with specific offers determined by relevant experience and demonstrated expertise.

What You'll Own:

Data Quality Infrastructure (Your #1 Priority)

• Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error

• 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

• Own end-to-end data flow: website events → collection → transformation → warehouse → reporting

• Establish technical standards: "Here's how we ALWAYS configure X" documentation

  
  

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

  
  

Team Leadership & Process

• Manage existing Analytics Manager + 2 Data Specialists with focus on quality over quantity

• Train 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)

• Drive server-side tracking migration for cookie-less future

• 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 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

• Can diagnose and fix tracking setup errors across the entire stack - you don't just identify problems, you solve them

• Strong technical skills: SQL expert (can write complex queries in your sleep), Python or R proficiency for data validation

• Data engineering knowledge: Understand ETL/ELT, data warehousing, API integrations, event-driven architecture

• Experience building data quality systems: Automated validation checks, data observability, monitoring frameworks

The Operational Mindset

• You're a builder, not a presenter: More excited about architecting systems than making slides

• Zero-bug mentality: You take it personally when bad data gets through

• Process-driven: You document, systematize, and scale solutions

• Comfortable saying no: Protect data quality even when it's politically inconvenient

• Firefighter turned fire-preventer: You've dealt with data disasters and built systems to prevent them

Leadership & Communication

• Proven team leadership: Can manage 3+ person analytics team with focus on quality and growth

• Can explain technical issues to non-technical executives without dumbing it down or over-complicating

• Enforce standards: Your team knows accuracy is non-negotiable

• Cross-functional influence: Work with engineering, marketing, and product to fix data at the source

Red Flags (Don't Apply If This Is You)

• You want to focus on strategic insights and executive storytelling

• You prefer analysis over building systems

• You think "good enough" data is acceptable

• You can't explain how server-side tracking actually works

• You've never built a data validation framework

Ideal Background:

You've done this before:

• "I reduced data quality incidents by 90% at [Company] by implementing [specific systems]"

• "I architected the tracking infrastructure that handled $XXM in ad spend with 99.9% accuracy"

• "I built automated validation that caught errors before they reached leadership"

• "I led the server-side tracking migration that solved our attribution problems"

Bonus Points For:

• Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests)

• Background in analytics engineering or data reliability engineering

• Track record in high-growth e-commerce (sleep, wellness, DTC)

• Experience with attribution modeling for multi-channel marketing

• Built data quality systems that scaled internationally

Next Steps:

Click "Apply" to start your application today! We've optimized our recruitment process into 3 simple steps. We want to ensure that all applicants have a fair and equal chance, so we use our Phase 1 online assessment. This minimizes unconscious bias in our hiring process. Successful candidates will be invited to Phase 2 within one business day of the successful completion of Phase 1.