Global Head
CompanyProdapt
Location
Greater London, England, United Kingdom
Employment TypeFull-time
Posted At6/23/2026
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (34.0%).
Occupation TypeHuman resources and industrial relations officers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
Global Head - data & AI
Location: US/UK/Europe
Required Skills & Experience
Leadership & Commercial:
- 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.
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).