Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Global Head of Data

Hays
8 months ago
Applications closed

Related Jobs

View all jobs

Global Head of Data Science

Global Head of Data Science

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Head of Data Science, AI and Data Visualisation

Head of Artificial Intelligence

Data Scientist Genomic Epidemiology - Pathogen

Global Head of Data - Exec Compensation

With direct reporting line to our Group Chief Product and Innovation Officer


What tasks does the role involve?

  • The Global Head of Data is responsible for ensuring that the organisation manages, curates and uses data effectively to make business decisions and increase business success. The Global Head of Data understands our direction and strategy, but always focuses on how to underpin this with data. The main tasks are to set-up a global data organisation, based on data governance and data product/service structures and to define and implement our global data strategy. This includes the definition, categorisation, planning, procurement, organisation, integration, storage and deletion of data across operative and analytical systems. The Global Head of Data actively develops a global data culture and leads a global team with direct reporting lines and a matrix team as a dotted line. These teams are responsible for developing and implementing the data strategy. They are part of the global product organisation with direct reporting line to the Group Chief Product & Innovation Officer. The Global Head of Data ensures that the data strategy meets organizational objectives and requirements to stay competitive.



Build

  • Development of data governance and data product/service structures and thus responsibility for data governance leadership and operationalisation as well as for data product/service design, quality and lifecycle management
  • Definition of a global data strategy and setting up the associated organisational structures
  • Development of a global vision and mission as well as a general, regionally coordinated data strategy
  • Designing the organisational structure of the Global Data Organisation (including internal resource allocation and external hirings)
  • Structure the global data organisation in a hybrid set-up considering local and regional market situations and specific requirements
  • Define a data taxonomy that fits the orgnisations needs for the future and is a basis for the design and procurement of appropriate technology solutions in conjunction with the Global Technology Function
  • Coordinate and collaborate with leadership across the organisation in order to identify data business needs through close collaboration with Group functions (including Finance, People & Culture etc.) and regional markets.


Run

  • Responsible for driving end-to-end global data strategy
  • Promoting a data-driven culture by advocating data-based decisions within the organisation.
  • Steering the organisation via a global structure of direct reports and via matrix structures in the regions
  • Responsible for ensuring data quality by monitoring and improving the quality of existing data
  • Optimising the collection, storage and management of data
  • Responsible for the content design and usage of a data platform (supported by the Global Technology Function)
  • Responsible fordata analytics,business intelligencemachine learning and data science — the process of drawing valuable insights from dataSupport the development of data-driven business models and new products
  • Manage the global data integration roadmap to support business processes and use cases (including continuous process improvements)
  • Inspire and manage global data communities (data owners, data administrators, super users etc.)
  • The organisation is an industrial processor of personal data, So close alignment work with the Group Data Protection Officer is needed to ensure the appropriate usage of esp. personal data.



What are the entry requirements?


You have experience in leading within a matrix, in-depth knowledge of stakeholder management (from technical expert to C-Level) and comprehensive and proven expertise of data organisations, our staffing industry, recruiting products and data structures. Your unique blend of business acumen, technical understanding, and leadership skills will drive the company to the next level. You have a proven track record in a Senior Management Role and therefore also manage stakeholders at this level through competence and reputation. You have already gained experience in setting up new organisations paired with comprehensive experience in Data Management.



What skills should you bring with you?


  1. Data expertiseYou have comprehensive theoretical and practical knowledge of data management, data products and data organisations including the definition and implementation of roles and processes
  2. Broad knowledge and practical (implementation) experience in the areas of reporting & analytics, data platforms, data science/machine learning, data governance, data strategy and organisation
  3. A deep understanding of data organisations, data management and development of new data products
  4. You are familiar with the differences and similarities of the various regional data structures and products
  5. You have expertise in the strategic management of data product portfolios, and in developing and implementing new data products that contribute to value creation
  6. Strong understanding of performance metrics in terms of content (project KPIs, analytics, , data, etc.) and expertise in the development of management systems for defining and monitoring targets
  7. Analytical skills for data analysis, data interpretation and reporting
  8. You are up-to-date with the latest developments in the data & analytics environment

You have an understanding/appreciation of relevant data protection regulations (GDPR in particular).


  1. Leadership & culture managementCreating an equitable, diverse and inclusive culture
  2. Leading a performance-driven culture
  3. Leading from the front in all aspects of business development
  4. Form a powerful team capable of driving data management, quality and innovation
  5. Communicate effectively with management, internal stakeholders, employees, partners, clients and candidates
  6. Excellent communication skills to balance different interests and mediate effectively as interface between global and local units and between business and technology
  7. A deep understanding of different cultures and the ability to work effectively with globally distributed teams
  8. Effective conflict resolution skills to balance different interests
  9. Willingness to take risks and test new approaches
  10. Business fluent in English as the organisations internal language


  1. Strategic Planning and Portfolio ManagementAbility to understand the overall strategy of the organisation and integrate it into the data strategy
  2. Define and align the vision, strategy, and roadmap for the entire data organisation
  3. Establish the company as an industry market leader of innovative data product offerings
  4. Ability to make strategic decisions that are effective both globally and locally
  5. Strong change management skills
  6. A strong track record in building and leading matrix teams
  7. Experience in building new organisations, products, and services including embedding them in the global organisation


Please note that I am on annual leave returning on Tuesday 7th January so may be a slight delay in coming back to your application.

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.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.