At a Glance
- Tasks: Lead global Data & AI initiatives and drive transformation programmes across multiple regions.
- Company: Join a leading tech firm at the forefront of data and AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration across diverse teams.
- Why this job: Shape the future of data and AI while making a significant impact on global projects.
- Qualifications: 15+ years in Data & AI with strong leadership and commercial skills required.
The predicted salary is between 70000 - 90000 £ per year.
Location: US/UK/Europe
Required Skills & Experience
- 15+ years in Data & AI / Technology, with at least 5 years in a senior practice leadership or P&L ownership role.
- Proven track record of building and scaling Data & AI practices in a consulting, systems integration, or managed services environment.
- Experience managing a global team across multiple geographies with direct reports in at least two regions.
- Demonstrated success in winning large-scale transformation programmes ($10M–$100M+) and advising clients through complex data and AI transformation journeys.
- Strong commercial instincts: business development, deal shaping, pricing, margin management, and pipeline discipline.
Hands-On Technical Foundation (Essential)
- Prior hands-on career as a Data Architect, Enterprise Architect, or Solutions Architect is strongly preferred — practitioner credibility is a key differentiator for this role.
- Deep expertise in modern data platform architectures: Lakehouse, Data Mesh, Data Warehouse modernisation (Teradata/Oracle/Netezza to Snowflake/Databricks/BigQuery).
- Solid understanding of cloud data platforms: Microsoft Azure (Fabric, Synapse, ADLS), AWS (Redshift, Glue, Lake Formation), GCP (BigQuery, Dataproc, Dataplex).
- Strong working knowledge of AI/ML engineering, MLOps, LLMOps, Generative AI, and Agentic AI frameworks.
- Familiarity with data governance tooling: Unity Catalog, Alation, Collibra, Purview, Snowflake governance, or equivalent.
- Ability to review, challenge, and guide architectural decisions on complex programmes without being a bottleneck.
GTM & Offering
- Proven experience creating commercial offerings, go-to-market programmes, and sales plays for data or AI services.
- Track record of building and operationalising presales functions — from qualification through to proposal and contract.
- Experience managing hyperscaler and ISV partnerships (preferred: Microsoft, Databricks, Snowflake, AWS).
- Demonstrated thought leadership: published content, public speaking, analyst interaction, or executive advisory.
Preferred Qualifications
- Advanced degree in Computer Science, Engineering, Data Science, or a related field.
- Certifications in Enterprise Architecture (TOGAF, ZACHMAN), Cloud (Azure Expert, AWS SA Pro, GCP Professional Data Engineer), or AI/ML platforms.
- Recognised industry thought leader with a public profile in enterprise AI and data transformation.
- Prior experience in Telco, Media, or Connectedness-adjacent industries is a strong differentiator.
- Familiarity with responsible AI frameworks, EU AI Act compliance, and sovereign AI considerations.
- Experience with agentic AI architectures, LLMOps platforms, and AI compute infrastructure (GPU-as-a-service, sovereign AI clusters).
Global Head in London employer: Prodapt
As a leading player in the Data and AI sector, our company offers an exceptional work environment that fosters innovation and collaboration across global teams. With a strong commitment to employee growth, we provide extensive training opportunities and encourage thought leadership, ensuring that our team members are at the forefront of industry advancements. Located in key regions across the US, UK, and Europe, we offer a dynamic workplace culture that values diversity and empowers employees to drive meaningful transformation for our clients.
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We think this is how you could land Global Head in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Global Head in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Prodapt, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Prodapt. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Prodapt
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Prodapt!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
