Job Title: Head of Data

Location: Ireland, Dublin (Hybrid)

Reporting to: Chief Technology Officer (CTO)

Team Scope: Data Engineering, Data Analytics, Business Intelligence

Role Overview

We are looking for an exceptional Head of Data to lead and elevate our data function, ensuring it becomes a pivotal enabler of business performance across the organization. As a strategic yet hands-on leader, you will drive the transformation of our data landscape, oversee the performance and development of a skilled data team, and build a high-value analytics capability that delivers measurable outcomes for a high-growth recruitment company.

Key Responsibilities

Strategic Leadership

Design and implement a pragmatic, results-focused data strategy aligned with business goals and financial targets.
Operate within a robust yet agile analytics framework that supports iterative delivery and strategic scalability.
Balance long-term vision with short-term delivery by aligning technical priorities with commercial imperatives.

Stakeholder Partnership

Act as a credible and commercially-minded advisor to senior stakeholders across the business.
Translate business needs into actionable data initiatives that directly improve operational performance, client satisfaction, and revenue generation.
Evangelize data value with action—move beyond advocacy to measurable implementation.

Data Management & Team Leadership

Lead and mentor a multidisciplinary data team (data engineers, analysts, and BI specialists) to high-performance delivery.
Instil a culture of ownership, accountability, and delivery across the data team.
Guide the development and optimization of data pipelines, models, dashboards, and architecture—primarily leveraging the Azure data technology stack.

Operational Excellence

Ensure data initiatives are clearly linked to tangible business outcomes (efficiency, growth, profitability).
Prioritize initiatives that enhance decision-making and drive real commercial value.
Embed data-driven thinking into key business processes, aligning analytics with core operational workflows.

Data Governance & Quality

Implement pragmatic processes for data quality, lineage, and stewardship that enable reliability and traceability without over-engineering.
Ensure data is trusted, accessible, and aligned with business needs.

Working Across Core Systems and Transformation Initiatives

This role will be at the heart of a broader business and technology transformation, making it essential for the Head of Data to bring together data from a variety of sources and translate it into cohesive, actionable insights. You will work across:

Customer Relationship Management (CRM)
Financial , Payment, Billing and ERP systems

Your ability to understand and connect data across these platforms—within the context of end-to-end business processes—will be critical. You will contribute not only to technology delivery but also to enterprise-wide change, helping shape how data enables operational excellence and competitive advantage.

Key Skills & Attributes

Commercial Mindset: Strong understanding of business models, recruitment operations, and financial performance levers.
Business Process Understanding: Clear grasp of how data integrates with operational workflows and impacts business outcomes.
Stakeholder Communication: Ability to engage confidently with non-technical stakeholders and influence decisions with data-backed insights.
Hands-on Technical Acumen: Deep understanding of data analytics, architecture, transformation pipelines, and advanced analytics methods.
Azure Expertise: Proven experience with Azure data technologies including Data Factory, Azure SQL, Synapse, Databricks, and related tools.
Results-Driven: Relentless focus on outcomes, value creation, and measurable impact on the bottom line.
Team Leadership: Proven ability to lead and scale data teams, drive accountability, and foster talent.
Strategic Thinker, Pragmatic Operator: Ability to set a long-term vision while making practical trade-offs for near-term wins.
Agile Execution: Operate within an agile framework that balances innovation with stability and control.
Data Culture Champion: Foster a culture of evidence-based decision-making, but grounded in practical delivery and change enablement.

Qualifications & Experience

Bachelor’s or Master’s degree in Data Science, Computer Science, Business, Engineering, or a related field.
8+ years of experience in data leadership roles, with a proven track record in data transformation and commercial value delivery.
Experience in high-velocity commercial environments is highly advantageous.

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