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

Nominate & Attend

Head of Data

Poole
2 weeks ago
Create job alert

Our client is seeking an experienced Head of Data to lead their data team through a transformative journey, positioning data as a central pillar of their business strategy. This role will oversee a diverse team of specialists including Data Quality Analysts, Data Engineers, Data Science Engineers, and Business Intelligence professionals, while championing our clients mantra of "Powered by technology, underpinned by people."
Principal Duties and Responsibilities
Guide and coach data teams on data analytics, vision and best practices.
Lead data-driven innovation, including ingestion, extraction and presentation.
Connect data initiatives directly to business outcomes and KPIs.
Drive forward data products and services with internal and external customers.
Serve as the guarantor of data security quality, ensuring consistency and reliability across business areas.
Guide teams in transforming data into actionable business insights, driving strategy and decision making.
Work closely with technology, operational and customer focused teams.
Remove roadblocks and ensure teams remain focused on delivering value.
Proficiency in data analytics, vision and driving a Single Source of Truth methodology.
Knowledge of Continuous Improvement practices, and cloud-based technologies.
Serve as the bridge between technical data concepts and business applications.
Monitor sprint progress and key performance metrics to drive efficiency.
The above is not an exhaustive list of duties and you will be expected to perform additional or other duties as necessary to meet the needs of the business.
Qualifications
A Level or equivalent in relevant subjects
Further Education/University course in relevant field
Experience
4 years’ experience in a Head of Data role or relevant background
Skills and Attributes
Strong experience in Data, delivery, strategy and expanding insights
Strong experience executing comprehensive data strategy aligned with business objectives
Strong collaboration skills, ability to work closely and tightly with stakeholders, data quality analysts, data engineer, data science engineer, BI engineer and business insights engineer
Strong knowledge and experience utilising CI/CD pipelines to enhance product delivery capabilities
Lead the modernisation of data platforms and infrastructure, utilising our clients cloud-first architecture
Experience implementing centralised data reporting platforms
Experience In Resource Management
Experienced in fostering a business wide data-driven culture, promoting data literacy and analytical thinking.
Ability to lead on Single Source of Truth methodology
Experience with cloud deployments and management thereof
Experience in presenting analysis and visualisations in a clear way to communicate complex messages to technical and nontechnical audiences
Ability to work under pressure and follow company policies and procedures
Excellent organisational, interpersonal and facilitation skills
Ability to work accurately at speed
Analytical and problem solving oriented
Recruit, mentor and manage data professionals to meet evolving business needs
There will be some availability to work from home, but predominantly office based
25 days holiday, plus bank holidays

Related Jobs

View all jobs

Head of Data Science (City of London)

Head of Data Science

Head of Analytics and Data Science

Head of Machine Learning and AI Engineering – Everyday Banking

Head of Risk Pricing

Principal Data Scientist

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.