Chief Data Officer

As Chief Data Officer at NCIA, you will lead the enterprise data strategy, governance, and AI initiatives to enhance NATO's decision-making and mission effectiveness. This strategic leadership role involves shaping data governance, integration, and exploitation to support military workflows and interoperability across NATO.

Responsibilities

• Lead and role model NCIA culture principles of Customer First, Together and Impact
• Build and lead a cohesive, multicultural and multidisciplinary team promoting excellence and professional standards
• Define and lead the enterprise data strategy, vision, and governance framework across NCIA
• Establish and enforce data standards including ownership, quality, metadata, and lifecycle management
• Oversee data quality, issue resolution, and continuous improvement processes
• Define and evolve data architectures supporting enterprise and operational (C4ISR/cyber) needs
• Ensure data supports military workflows, situational awareness, and decision-making across domains
• Lead design of data platforms, analytics pipelines, and AI-enabled capabilities
• Drive interoperability standards enabling secure data sharing across NATO, Allies, and partners
• Promote reusable, scalable, and modular data architecture patterns across programs

Requirements

• Master's degree with 15+ years of relevant experience or Bachelor's degree with 20+ years of relevant experience in complex technical organizations
• Proven experience leading large, multidisciplinary data organizations including data engineering, analytics, governance, and AI
• Strong track record of defining and executing enterprise data strategies aligned to organizational goals
• Demonstrated success delivering data transformation programs such as modernization, cloud platforms, and data democratization
• Experience evolving organizations from data silos to integrated, enterprise-wide ecosystems
• Deep expertise in data governance frameworks
• Experience establishing and scaling data operating models (centralized, federated, or hybrid)
• Strong understanding of modern data technologies including cloud-based data platforms, data integration and pipelines, APIs, and real-time data processing
• Experience working in close partnership with CIO and enterprise architecture functions
• Excellent communication and influencing skills in senior and politically complex environments
• Proven experience managing large, diverse, multidisciplinary teams with modern, inspirational leadership practices

Skills

• Data Engineering
• Data Analytics
• Data Governance
• Artificial Intelligence
• Enterprise Data Strategies
• Data Transformation Programs
• Cloud Platforms
• Data Democratization
• Data Integration
• Real-time Data Processing
• Data Operating Models
• Centralized Data Model
• Federated Data Model
• Hybrid Data Model
• Enterprise Architecture Collaboration
• Leadership in Data Organizations
• Modern Data Technologies
• Data Modernization
• Team Management

Languages

English