Head of Data

Hewett Recruitment
Grimley, United Kingdom
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Grimley, United Kingdom

Tech stack

Artificial Intelligence
Azure
ETL
Software Design Patterns
Distributed Data Store
Power BI
Data Strategy
Data Management
Machine Learning Operations
Databricks

Job description

A leading technology business is looking for a Head of Data to own and deliver its data strategy, modernise its platform, and turn data into a core driver of growth. This is a senior leadership role with the chance to shape a cloud-native data environment and build a high-performing, multidisciplinary team.

The opportunity You will lead the execution of the data strategy, transforming the current Azure and Databricks landscape into a scalable, governed platform that supports self-service MI, embedded analytics, and AI-ready foundations. The role focuses on improving decision-making, supporting product innovation, and ensuring data becomes a strategic asset across the organisation.

What you'll be doing

  • Translate the data strategy into clear roadmaps, priorities and measurable outcomes.
  • Own the reference architecture and standards across Azure, Databricks and Fabric.
  • Lead the modernisation of the stack to cloud-native, modular, scalable principles.
  • Embed self-service BI and analytics using tools such as Power BI, ThoughtSpot or Fabric.
  • Drive governance, lineage, quality and compliance in a practical, business-friendly way.
  • Build, mentor and scale a high-performing data team across engineering, BI, governance and analytics.
  • Enable AI/ML initiatives through robust data foundations, MLOps pipelines and feature stores., * Strong hands-on background with modern cloud data platforms (Azure, Databricks, ELT/ETL).

Requirements

  • Experience leading large-scale, distributed data platforms and engineering teams.
  • Knowledge of Medallion Architecture or Lakehouse design patterns.
  • Track record delivering BI/MI, self-service analytics and data products.
  • Deep understanding of governance, quality, lineage, cataloguing and regulatory compliance.
  • Experience supporting AI/ML initiatives in production environments.
  • Collaborative, humble, customer-focused leadership style.

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