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Head of Data & AI Practice
Data & AI Practice Leader – Global Executive Role
Role Overview
We are seeking a highly accomplished Data & AI leader to build, scale, and lead a global Data & AI Practice. This executive leadership role is responsible for:
- Driving business growth
- Owning practice P&L
- Defining market-leading offerings
- Leading customer advisory engagements
- Shaping large transformation deals
- Establishing strong market presence through thought leadership and strategic partnerships
The ideal candidate combines deep hands-on expertise in data architecture and AI with strong commercial leadership, enabling organizations to accelerate their data modernization and AI transformation journeys.
Key Responsibilities
- Own and drive the global Data & AI Practice strategy, revenue growth, profitability, and market expansion.
- Define and commercialize Data & AI offerings across:
- Data Modernization
- Cloud Data Platforms
- AI/ML Engineering
- Generative AI
- Agentic AI
- LLM Ops (LLMOps)
- Lead global go-to-market initiatives, presales strategy, and large deal pursuit.
- Act as a trusted advisor to C-suite stakeholders, including:
- CIOs
- CTOs
- CDOs
- Chief AI Officers
- Develop and manage strategic partnerships with:
- Hyperscalers
- Leading data and AI technology providers
- Build and mentor high-performing global teams across:
- Advisory
- Architecture
- Presales
- Practice management
- Drive innovation, thought leadership, and market positioning through:
- Industry engagement
- Executive workshops
- Strategic consulting initiatives
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Mandatory Skills & Experience
- 15+ years of experience in:
- Data, Analytics, AI, or Digital Transformation
- Including 5+ years in:
- Practice Leadership
- Business Unit Leadership
- P&L ownership
- Proven track record of building and scaling Data & AI practices within:
- Consulting
- System Integration
- Technology Services
- Demonstrated success in winning and leading large-scale transformation programs valued between $10M and $100M.
- Strong commercial expertise in:
- Business Development
- Revenue growth
- Deal shaping
- Pricing strategy
- Margin management
- Hands-on background as:
- Data Architect
- Enterprise Architect
- Solution Architect
- Or equivalent technical leadership role
- Deep expertise in modern data architectures, including:
- Lakehouse
- Data Mesh
- Data Warehousing
- Cloud-native data platforms
- Strong knowledge of:
- AI/ML
- MLOps
- LLMOps
- Generative AI
- Agentic AI
- Enterprise AI adoption frameworks
- Experience with major cloud platforms, including:
- Microsoft Azure
- AWS
- Google Cloud Platform
- Proven ability to:
- Engage and influence executive stakeholders
- Translate business challenges into technology-driven outcomes
- Experience leading globally distributed teams across multiple regions and cultures.
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Preferred Qualifications
- Advanced degree in:
- Computer Science
- Engineering
- Data Science
- Or a related field
- Industry certifications in:
- Cloud
- Enterprise Architecture
- Data Engineering
- AI/ML technologies
- Established thought leadership through:
- Public speaking
- Published content
- Analyst engagement
- Executive advisory experience
- Experience in high-value sectors, including:
- Telecommunications
- Media
- Technology
- Banking
- Healthcare
- Knowledge of:
- Responsible AI
- AI Governance
- GDPR
- EU AI Act
- Enterprise compliance frameworks
Key Success Factors
- Strategic and commercial mindset with strong business ownership capabilities.
- Practitioner-level technical credibility combined with executive leadership presence.
- Ability to create differentiated market offerings and drive global growth.
- Strong:
- Stakeholder management
- Communication
- Influencing skills
- Passion for innovation and emerging technologies in Data & AI.
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