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Head of data

Bruxelles
Harvey Nash
Publiée le 18 février
Description de l'offre

Lead Data & AI

Location: Hybrid
Industry: Telecommunications
Seniority: Senior / Lead level

Role Overview

We are looking for a Lead Data & AI professional to drive the company's data and artificial intelligence strategy and translate business needs into scalable, high-impact solutions. In this role, you will lead data and AI initiatives across the organization, working closely with business, IT, and analytics teams to deliver measurable value.

You will act as a technical and strategic leader, shaping the data platform, guiding AI use cases, and ensuring best practices in data governance, architecture, and responsible AI.

Key Responsibilities
Define and lead the Data & AI strategy, aligned with business and technology objectives
Identify, design, and prioritize AI and advanced analytics use cases with clear business value
Lead the design and evolution of data platforms and architectures (cloud, big data, analytics)
Oversee the end-to-end delivery of data and AI solutions, from concept to production
Collaborate with business stakeholders to translate requirements into data-driven solutions
Provide technical leadership and coaching to data scientists, data engineers, and analysts
Ensure compliance with data governance, security, privacy, and ethical AI standards
Monitor emerging trends in data, AI, and telecom to continuously improve capabilities

Required Experience & Skills
Strong experience in data, analytics, and AI roles, with proven leadership responsibilities
Solid understanding of data architectures, cloud platforms, and modern analytics stacks
Hands-on knowledge of AI/ML concepts and their real-world business application
Experience leading complex, cross-functional initiatives in large or enterprise environments
Ability to communicate complex technical topics clearly to non-technical stakeholders
Strategic mindset combined with a pragmatic, delivery-focused approach

Nice to Have
Experience in the telecom sector or similarly complex, data-rich industries
Exposure to large-scale transformation programs

Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Management
Industries
Telecommunications

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