National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Data

Chandler's Ford
9 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering (Ad Tech)

Head of Data Engineering

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science

Our Business

Workdry International is a market-leading provider of engineered solutions for the handling and treatment of water and wastewater.

Our Selwood, Siltbuster, Vanderkamp and Holland Pump business combined form a UK, European and US leader in pumping solutions, on-site water treatment, wet waste processing and the prevention of waterborne pollution, delivering an unrivalled range of rapidly deployable solutions.

Workdry provides support to group companies through administration and back-office functions including finance, HR, training and development, and health and safety.

We are committed to excellence in solutions and services, staff training and development, sustainability and diversity, and provide an environment where every team member can thrive and progress to their full potential.

About the Role

The Workdry Group has seen enormous growth over recent years and is scaling up its investment in technology to drive greater customer engagement and operational efficiency. Due to this we are recruiting a Head of Data, this role will play a crucial part in enabling our digital transformation by overseeing data strategy, governance, and analytics across the group, ensuring the organisation maximizes the value of data assets to support our overall strategy and long-term goals.

You’ll be accountable for defining the data architecture, ensuring data integrity, and developing analytics solutions that drive business insights, operational efficiency, and customer engagement. You’ll also lead the data management and analytics teams, collaborate with various departments, and ensure that data-driven decisions are based on accurate, timely, and well-organised information.

The Head of Data also establishes and enforces policies for data security, compliance, and usage.

Main Responsibilities:

  • Develop and implement a comprehensive data strategy that aligns with business goals and digital transformation efforts. Ensure proper data governance policies are in place for data quality, integrity, privacy, and security.

  • Lead the development of advanced analytics platforms and data solutions to support decision-making across the company. Champion the use of analytics, data science, machine learning, and AI to drive innovation and efficiency.

  • Oversee data architecture, ensuring that it supports the organisation’s data needs and aligns with enterprise standards. Lead decisions regarding data storage, processing technologies, and integration with existing systems.

  • Work closely with senior management, business leaders, and technical teams to understand data needs and opportunities. Provide actionable insights to stakeholders by transforming raw data into meaningful business metrics.

  • Design and maintain the data infrastructure necessary for optimal storage, processing, and retrieval of large-scale data. Ensure the deployment of tools for efficient data analysis, reporting, and visualisation.

  • Ensure compliance with relevant data protection regulations (e.g., GDPR) and industry standards. Implement data security measures to protect sensitive information and mitigate risks.

  • Lead and develop a high-performing data team, both directly and virtually across the business. Foster a culture of continuous improvement, collaboration, and innovation.

    About You

    The personal behaviours, skills & experience you will display:

    Qualifications & Experience:

  • Data Expertise: Strong expertise in data architecture, data governance, and analytics, with a proven ability to deliver strategic data solutions that drive business value. Specific experience with Azure Synapse Analytics, Azure Data Lake, and Azure Databricks for large-scale data processing and analytics.

  • Technical Proficiency: Extensive experience with cloud-based data platforms, particularly in Microsoft Azure. Proficiency in using Azure SQL Database, Azure Data Factory for ETL processes, Azure Data Lake Storage for scalable data storage, and Azure Stream Analytics for real-time analytics. Familiarity with Azure Purview for data governance and compliance, as well as Azure Machine Learning for building and deploying predictive models.

  • Leadership Experience: Demonstrated experience leading data teams, driving change, and aligning data strategies with business objectives. Ability to mentor and develop data professionals with expertise in Azure data services.

  • Analytical Thinking: Strong strategic thinking, decision-making, and problem-solving abilities, with a focus on utilizing Azure tools to drive performance improvements. Skilled in leveraging Power BI integrated with Azure for interactive reporting and visual analytics.

  • Communication and Influence: Excellent communication skills with the ability to translate complex Azure-based data concepts into understandable insights for non-technical stakeholders.

  • Certifications: Relevant certifications in Azure Data Engineer or Azure Solutions Architect are highly desirable, along with certifications in data management and analytics (e.g., DAMA, CDMP).

  • Global Perspective: Experience managing data strategies and processes at a global scale, with an understanding of regional data regulations and challenges. Skilled in using Azure Data Governance tools like Azure Purview to ensure compliance.

  • Mobility: Ability to travel to various business locations as needed.

    What We Can Offer You

    Competitive salary

    Eligible for company bonus scheme (annual and quarterly payments)

    Medicash Scheme – medical expenses scheme (access to 24hour online GP services, discounted gym memberships)

    Pension scheme with contribution based on total earnings not just salary

    24 days holiday + 8 Bank Holidays

    Increasing annual leave entitlement with long service

    3x your annual salary life insurance (DIS)

    Support for development and training

    Employee assistance programme (EAP) & access to Mental Health first aiders

    Employee discount scheme (discounts/vouchers for supermarkets, high street shops, holidays and more)

    Employee referral scheme

    Hybrid working (i.e., working from home and in the office) pattern.

    This role is not open to Agencies - Please no calls or emails - Thank you.

    EDI Statement

    Workdry International Ltd is committed to encouraging equality, diversity, and inclusion among our workforce, and eliminating unlawful discrimination.

    We value transparency, respecting others and understanding differences. We give full and fair consideration to all applicants, regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

    As part of your recruitment journey, we are happy to support requests for reasonable adjustments
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.