Director of Data/AI/Digital Intelligence
Role Overview
The Director of Data, AI & Digital Intelligence reports to the Head of IT and leads the enterprise-wide data and AI capability.
The role aims to create a trusted, scalable, governed digital intelligence ecosystem for business functions including R&D, manufacturing, supply chain, commercial operations, and finance.
Success includes technology delivery and improved decision-making, productivity, and innovation through data and AI.
Key Skills for This Role
Full Job Posting
Role and mission
The Director of Data, AI & Digital Intelligence reports to the Head of IT and leads the enterprise-wide data and AI capability.
The role aims to create a trusted, scalable, governed digital intelligence ecosystem for business functions including R&D, manufacturing, supply chain, commercial operations, and finance.
Success includes technology delivery and improved decision-making, productivity, and innovation through data and AI.
Company context
Besins Healthcare is an international pharmaceutical company with approximately 1,800 employees and €800 million in revenue.
The company is undertaking an enterprise-wide transformation and aims to make data and AI core capabilities.
Leadership and operating model
- Build and lead teams covering AI and data governance, architecture, and engineering; recruit and develop talent.
- Define operating models, establish governance forums, manage strategic partners, and drive adoption across business functions.
Enterprise data foundation
- Design governance for data ownership, stewardship, quality, lifecycle, policies, controls, metadata, and access.
- Define enterprise data architecture and roadmap, including data models, master and reference data, information and metadata architecture, integration, and lifecycle.
- Lead an enterprise lakehouse integrating ERP, manufacturing, quality, supply chain, commercial, scientific, and laboratory data for analytics and AI.
- Establish a trusted single source of truth and a catalogue supporting data discovery, lineage, ownership, quality assessment, access requests, and certified data sharing.
- Develop toward an enterprise data marketplace where reusable data products can be consumed across the organization.
Enterprise AI foundation
- Establish AI governance for responsible and ethical AI, risk management, explainability, auditability, lifecycle management, model validation, and regulatory compliance.
- Define and implement an enterprise AI platform strategy supporting LLMs, RAG, knowledge repositories, model and prompt management, AI monitoring, and security controls.
- Define a reusable Agentic AI vision, architecture, and operating model for scientific, supply chain, commercial, and corporate productivity use cases.
- Define and deliver an enterprise agent orchestrator architecture governing interactions between multiple AI agents.
Required experience
- 12+ years of experience in Data, Analytics, AI, or Digital leadership roles.
- Proven experience building enterprise-scale data capabilities and implementing data governance programs.
- Experience with Agentic AI and scaling AI in large organizations.
- Ability to engage with executive leadership, business stakeholders, architects, engineers, and external partners.
Preferred experience
- Experience in pharmaceutical, healthcare, life sciences, or another regulated industry is highly appreciated.
Location
- The role is based in Dubai, UAE.
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