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Global Head – Data & AI
Location: US/UK/Europe
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, including 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 (Strongly preferred — Practitioner credibility is a key differentiator).
- Deep expertise in modern data platform architectures:
- Lakehouse, Data Mesh, and Data Warehouse modernisation (e.g., Teradata/Oracle/Netezza → 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, including Unity Catalog, Alation, Collibra, Purview, and Snowflake governance.
- Ability to review, challenge, and guide architectural decisions on complex programmes without being a bottleneck.
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GTM & Offering
- Proven experience in 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, including:
- Published content
- Public speaking
- Analyst interaction
- Executive advisory
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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)
- AI/ML platforms
- Recognised industry thought leader with a public profile in enterprise AI and data transformation.
- Prior experience in Telco, Media, or Connected usage/adjacent industries (Strong differentiator).
- Familiarity with:
- Responsible AI frameworks
- EU AI Act compliance
- Sovereign AI considerations
- Experience with agentic AI architectures, LLMOps platforms, and AI compute infrastructure (GPU-as-a-service, sovereign AI clusters).
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Jessica, London
Skills
Leadership
Data Architecture
Enterprise Architecture
Solutions Architecture
Data Platform Architectures
Cloud Data Platforms
AI/ML Engineering
MLOps
Generative AI
Data Governance
Commercial Offerings
Partnership Management
Thought Leadership
Business Development
Transformation Programmes
P&L Ownership
Location