Data & AI Transformation Architect

Role Overview

Data and AI Transformation

• Assess current Data and AI capabilities and identify maturity improvement opportunities.
• Define transformation roadmaps, advise senior stakeholders, and drive adoption of modern data, analytics, governance, and AI practices.
• Promote a data-driven culture and identify high-value use cases that deliver measurable business outcomes.

Enterprise Data Architecture

• Develop enterprise data architecture principles, standards, frameworks, and the Enterprise Data Model.
• Align business objectives, governance, architecture standards, and technology investments.
• Establish scalable data ownership, stewardship, quality, and lifecycle management approaches.

Governance and Integration

• Promote consistency and interoperability across SAP, Workday, Salesforce, Azure, and other strategic platforms.
• Embed governance, security, compliance, and data quality principles into practical implementations.
• Collaborate with Data Governance, Enterprise Architecture, Security, and MDM communities.

Influence and Capability Building

• Facilitate workshops and strategy sessions and translate complex technical concepts into clear business language.
• Coach leaders and teams on data governance, data management, and AI adoption.
• Build relationships across functions, cultures, and geographies and support organizational change.

Experience

• At least 10 years of experience in data architecture, data management, analytics, AI, digital transformation, or related disciplines.
• Proven leadership of enterprise-wide Data and AI transformation programs.
• Experience in an asset-intensive industry such as manufacturing, marine, shipbuilding, construction, engineering, energy, or utilities.
• Demonstrated success improving data maturity and business adoption within complex international organizations.
• Experience combining strategic consulting with practical hands-on implementation.

Technical Expertise

• Enterprise data architecture and conceptual, logical, and physical data modeling.
• Data governance, master data management, and data quality management.
• Microsoft Azure, Microsoft Fabric, Databricks, Microsoft Purview, AI, and advanced analytics.
• Enterprise platforms including SAP, Workday, and Salesforce.
• DAMA-DMBOK and/or TOGAF knowledge or certification is preferred.

Candidate Profile

• The ideal candidate combines consulting skills, business acumen, architecture expertise, and transformation leadership.
• The role requires strategic thinking, strong stakeholder management, communication, facilitation, pragmatism, and hands-on execution.