Head of Data

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.comis 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

Own webook’s data function end-to-end strategy, team, platform and delivery and be the single person accountable for data n our first-party data into trusted decisions today and a monetisable asset within two to three years, in a regulated environment (PDPL / GDPR / NCA ECC) where data we cannot trust or lawfully use is worthless. Build and lead the team, make the platform reliable, and set webook up to sell data and insight, not just tickets.

1. Data Strategy & Roadmap

• Produce webook’s first documented data strategy and a phased, costed roadmap within 60 days of start, endorsed by the VP Architecture, Platform & AI and the CTO.
• Define the target operating model for the data function engineering, analytics, governance and the sequence in which it is built.
• Own the data platform direction. Lead the managed-vs-self-hosted decision and present a costed recommendation within 90 days
  , with a clear cost-control model.
• Align every data initiative to a measurable business outcome; re-prioritise the roadmap quarterly as the economics move.

2. Team Leadership & Building the Function

• Assess, develop and where needed strengthen the existing team; set a clear performance bar and build the capability to meet it.
• Set quarterly OKRs for each direct report; hold fortnightly 1:1s with written notes; run a monthly team standup with a rolling 90-day delivery view shared with VP Architecture and the CTO.
• Be a genuine people leader: develop talent and career paths, mentor, and build an engaged, high-performing team. Retention and engagement are explicit success measures, not afterthoughts.

3. Data Platform & Engineering

• Be accountable for reliable, tested, observable pipelines client-facing dashboards accurate and current, with stale or broken data caught before a client ever sees it.
• Own the platform direction across the modern data stack warehouse / lakehouse, transformation (dbt), orchestration, BI and serving - making pragmatic build/buy and managed/self-host calls across open-source (
  Click House, Superset
  ) and major managed platforms (
  Big Query, Snowflake, Databricks
  ).
• Institute Fin Ops discipline: a clear monthly platform budget with alerting; own the platform budget and keep cost predictable and under control.
• Establish infrastructure-as-code, data observability, and clear SLAs for data delivery.

4. Analytics, Insight & Data Products

• Establish a single source of truth and a governed metrics / semantic layer; eliminate conflicting metric definitions across the business.
• Raise the bar on analytical quality for internal decisions and for client-facing insight.
• Build the muscle to ship data products: embedded client analytics, benchmarking, and insight services.
• Partner with product and commercial to define webook’s first paid data / insight product within 12 months, with a credible commercial case.

5. Data Governance, Quality & Privacy

• Ensure data handling meets PDPL, GDPR and NCA requirements classification, access control, residency, and cross-border transfer.
• Stand up a data catalog and data-quality standards with named ownership across data domains.
• Define the lawful-basis and controls framework required before any data product ships - webook’s "licence to monetise."
• Coordinate closely with the Director of Info Sec & Cybersecurity and…