Head of Data
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Key skills for this role
About the Role
webook.com is seeking a Head of Data to own the data function end-to-end, including strategy, team, platform, and delivery. The role involves building and leading a high-performing data team, establishing a reliable data platform, and turning first-party data into a monetizable asset within a regulated environment.
Key Skills for This Role
Responsibilities
- Own webook's data function end to end strategy, team, platform and delivery
- Produce webook's first documented data strategy and a phased, costed roadmap within 60 days of start
- 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
- Align every data initiative to a measurable business outcome; re prioritise the roadmap quarterly
- Assess, develop and where needed strengthen the existing team; set a clear performance bar and build capability
- Set quarterly OKRs for each direct report; hold fortnightly 1:1s with written notes; run a monthly team standup
- Be a genuine people leader: develop talent and career paths, mentor, and build an engaged, high performing team
- Be accountable for reliable, tested, observable pipelines and client facing dashboards accurate and current
- Institute FinOps discipline: a clear monthly platform budget with alerting; own the platform budget and keep cost predictable
- Establish infrastructure as code, data observability, and clear SLAs for data delivery
- Establish a single source of truth and a governed metrics/semantic layer; eliminate conflicting metric definitions
Requirements
- 10+ years in data, with at least 3 5 years in a senior data leadership role (Head of Data / Director) at a technology, SaaS or consumer platform company
- Proven track record building and leading high performing data teams across engineering, analytics and governance
- Deep, hands on understanding of modern data platforms and the modern data stack: warehouses/lakehouses, transformation (dbt), orchestration, BI, and serving layers
- Experience with open source platforms (ClickHouse, Superset) AND major managed platforms (BigQuery, Snowflake, Databricks)
- Strong command of data engineering and analytics practice: pipelines, dimensional modelling, semantic/metrics layers, data quality and observability
- Demonstrated ability to turn data into business value — ideally including data products or monetisation
- Working knowledge of data governance and privacy in a regulated environment (PDPL/GDPR a strong plus)
- Commercial fluency: able to translate technical work into business and board level language
- A track record of delivering against deadlines — with evidence, not just intent
- Experience monetising data or building data products sold externally (preferred)
- Familiarity with the KSA and EU regulatory context (PDPL, GDPR, NCA ECC) (preferred)
- Experience making data 'AI ready' and enabling ML/analytics at scale (preferred)
Full Job Posting
Role Overview
- Own webook's data function end to end strategy, team, platform and delivery and be the single person accountable for data at webook.
- Turn first party data into trusted decisions today and a monetisable asset within two to three years, in a regulated environment (PDPL / GDPR / NCA ECC).
- Build and lead the team, make the platform reliable, and set webook up to sell data and insight, not just tickets.
What You'll Own
- Data Strategy & Roadmap: Produce webook's first documented data strategy and a phased, costed roadmap within 60 days.
- 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.
- Align every data initiative to a measurable business outcome; re prioritise the roadmap quarterly.
- Team Leadership & Building the Function: Assess, develop and strengthen the existing team; set a clear performance bar.
- Set quarterly OKRs for each direct report; hold fortnightly 1:1s; run a monthly team standup with a rolling 90 day delivery view.
- Be a genuine people leader: develop talent and career paths, mentor, and build an engaged, high performing team.
- Data Platform & Engineering: Be accountable for reliable, tested, observable pipelines and client facing dashboards.
- Own the platform direction across the modern data stack (warehouse/lakehouse, dbt, orchestration, BI, serving).
- Institute FinOps discipline: a clear monthly platform budget with alerting; own the platform budget.
- Establish infrastructure as code, data observability, and clear SLAs for data delivery.
- Analytics, Insight & Data Products: Establish a single source of truth and a governed metrics/semantic layer.
Requirements
- 10+ years in data, with at least 3 5 years in a senior data leadership role (Head of Data / Director) at a technology, SaaS or consumer platform company.
- Proven track record building and leading high performing data teams across engineering, analytics and governance.
- Deep, hands on understanding of modern data platforms and the modern data stack: warehouses/lakehouses, transformation (dbt), orchestration, BI, and serving layers.
- Experience with open source platforms (ClickHouse, Superset) AND major managed platforms (BigQuery, Snowflake, Databricks).
- Strong command of data engineering and analytics practice: pipelines, dimensional modelling, semantic/metrics layers, data quality and observability.
- Demonstrated ability to turn data into business value — ideally including data products or monetisation.
- Working knowledge of data governance and privacy in a regulated environment (PDPL/GDPR a strong plus).
- Commercial fluency: able to translate technical work into business and board level language.
- A track record of delivering against deadlines — with evidence, not just intent.
- Experience monetising data or building data products sold externally (preferred).
- Familiarity with the KSA and EU regulatory context (PDPL, GDPR, NCA ECC) (preferred).
- Experience making data 'AI ready' and enabling ML/analytics at scale (preferred).
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