Director of Data Platforms & Intelligence

Full-time
Riyadh, Riyadh Province, savia Workable ATSPosted Jan 18, 2026
Match with my CV

Technical skills

Data engineeringData analysisBusiness intelligenceGoogle CloudCloud platformsSRE

Methods

Product thinkingProduct managementOperations

Role signals

Sales

About this role

Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.

Role Overview

The Director of Data Platforms & Intelligence is one of the most strategically significant leadership hires at webook.

This role owns and integrates:

  • Data Platforms
  • Analytics & Insights
  • AI Enablement
  • Intelligence Products
  • Commercial Data Monetisation
  • Operational & Executive Decision Intelligence

This leader transforms webook’s data into a revenue-driving, intelligence-generating engine .

What You’ll Own

Data Platform Strategy & Architecture

  • Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals
  • Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access
  • Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)
  • Ensure resilience during extreme traffic spikes and major events

Data Reliability & Observability

  • Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)
  • Treat data incidents with production-level severity
  • Deliver trusted, always-on data for real-time ops and BI

Business Intelligence & Decision Intelligence

  • Lead executive dashboards, KPI frameworks, forecasting, and operational metrics
  • Enable self-service analytics with governed semantic layers
  • Partner with Product, Marketing, Commercial, and Operations on proactive insights

Partner & Promoter Intelligence (Core 2026 Monetisation)

  • Design and own data-as-a-product roadmap
  • Build promoter dashboards covering live entry & capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue & throughput intelligence
  • Work with Commercial on pricing, packaging, and go-to-market

AI Enablement & Predictive Intelligence

  • Build data foundations for AI and ML models
  • Support recommendation systems, conversational UX, forecasting, and anomaly detection
  • Operationalise models with monitoring and retraining

Governance, Security & Compliance

  • Define policies for data access, retention, and protection
  • Ensure PDPL & GDPR compliance in partnership with CISO & DPO

Leadership & Organisation Building

  • Lead Data Engineering, Analytics, BI, and Data Operations teams
  • Define org structure, hiring plans, and career ladders
  • Act as a core member of the Technology Leadership Team

Requirements

  • Essential
  • 15+ years in data engineering, analytics, BI, architecture, or data leadership
  • Proven experience building enterprise-grade data platforms
  • Experience commercialising external data or intelligence products
  • Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)
  • Strong AI, ML Ops, KPI, and executive reporting expertise
  • Strong understanding of PDPL/GDPR
  • Excellent executive communication and influence

Nice to Have

  • Experience in ticketing, events, travel, marketplaces, or entertainment tech
  • Experience with multi-tenant data products
  • Experience delivering market intelligence to enterprise clients
  • Why Join webook?
  • Own one of the most strategic data roles in the region
  • Build intelligence products with direct revenue impact
  • Shape AI-driven decision-making at scale
  • Work at the intersection of technology, data, and live experiences

Before you apply

  • 1Which parts of your CV prove experience with Data engineering, Data analysis, and Business intelligence?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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