Data & AI Transformation Architect

We offer you an Ocean of Possibilities. Join our family. Data & AI Transformation Architect Location: DMESS, Abu Dhabi, UAE Department: Data & AI Employment Type: Full-Time Shape the Future of Data & AI at Damen At Damen Shipyards Group, we are on an ambitious journey to become a truly data-powered organization. To support this vision, we are strengthening our Data & AI capabilities and investing in the people, platforms, governance, and technologies that will enable smarter decision-making across the enterprise. The role is intended to help evolve Damen's enterprise data architecture, governance, AI, and analytics capabilities while accelerating organizational data maturity. We are looking for a transformation-oriented Data & AI professional who has successfully helped organizations move from fragmented and developing data capabilities toward leading-practice Data & AI operating models. You may come from manufacturing, shipbuilding, construction, marine, offshore, engineering, energy, utilities, or similar asset-intensive industries where operational complexity, legacy systems, and disconnected data landscapes are common challenges. As a Data & AI Transformation Architect, you will serve as a strategic advisor, consultant, and hands-on transformation leader. You will help define the future state of Damen's Data & AI landscape while ensuring practical execution and measurable business value. You will work closely with business leaders, Data Owners, Data Stewards, Enterprise Architects, Data Engineers, Analysts, Governance teams, and operational stakeholders to establish scalable data foundations, promote AI adoption, strengthen governance, and improve data-driven decision-making across the organization. Key Responsibilities: Assess current Data & AI capabilities and identify maturity improvement opportunities. Define and execute practical transformation roadmaps aligned with business priorities. Act as a trusted advisor to senior business and technology stakeholders. Develop and mature enterprise-wide data architecture principles, standards, and frameworks. Promote consistency and interoperability across enterprise platforms including SAP, Workday, Salesforce, Azure, and other strategic solutions. Minimum 10 years of experience in Data Architecture, Data Management, Analytics, AI, Digital Transformation, or related disciplines. Experience within manufacturing, marine, shipbuilding, offshore, construction, engineering, energy, utilities, or similar asset-intensive industries. Technical expertise required in Enterprise Data Architecture, Conceptual, Logical & Physical Data Modelling, Data Governance & Master Data Management, Data Quality Management, Microsoft Azure, Microsoft Fabric, Databricks, Microsoft Purview, AI & Advanced Analytics, DAMA-DMBOK, TOGAF, and enterprise platforms such as SAP, Workday and Salesforce.