Lead for Platform Security & Data Privacy

Complexio’s Foundational AI platform automates business processes by ingesting and understanding complete enterprise data—both structured and unstructured. Through proprietary models, knowledge graphs, and orchestration layers, Complexio maps human-computer interactions and autonomously executes complex workflows at scale.

Established as a joint venture between Hafnia and Símbolo—with partners including Marfin Management, C Transport Maritime, BW Epic Kosan, and Trans Sea Transport—Complexio is redefining enterprise productivity through context-aware, privacy-first automation

Requirements

Strategic Leadership

• Design and implement a comprehensive data privacy and access control architecture that addresses multi dimensional classification, dynamic permissions, and information barriers.
• Tech lead a small dedicated team focused on privacy-preserving access controls and coordinate with cross-functional teams including data ingestion, knowledge mapping, and automation developers.
• Develop and enforce security and privacy standards, policies, and best practices throughout the product development lifecycle.

Technical Implementation

• Architect a multi-layered access control model combining Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and purpose-based limitations.
• Oversee implementation of fine-grained data classification frameworks using NLP and other technologies.
• Design and validate permission propagation mechanisms for graph data models and derived insights.
• Establish security boundaries for autonomous AI agents, ensuring proper context isolation and privilege controls.

Cross-Team Coordination

• Work closely with engineering teams to integrate privacy controls into the data pipeline, knowledge graph, and AI components.
• Collaborate with product management to balance privacy requirements with usability and functionality.
• Coordinate with customer success to address client-specific privacy and compliance needs.
• Influence and guide development teams to prioritize privacy-by-design principles.

Qualifications

• 5+ years of experience in information security, data privacy, or access control systems.
• Proven track record designing and implementing complex security architecture.
• Strong knowledge of modern authorization frameworks, RBAC/ABAC systems, and data classification methodologies.
• Experience leading teams and influencing cross-functional stakeholders.
• Technical background with understanding of databases, APIs, and enterprise software architecture (knowledge also in implementation and development - Python).
• Understanding of data privacy regulations (GDPR, CCPA) and their technical implementation requirements.
• Proficiency in English language (B2+/C1 level).

Nice To Have

• Knowledge of AI/ML systems and the unique privacy challenges they present.
• Familiarity with LLMs and the privacy implications of their use in enterprise contexts.
• Understanding of vector databases and embedding-based systems.
• Experience in regulated industries (finance, healthcare, legal) with complex information barrier requirements.
• Background in data lineage and provenance tracking systems.

Benefits

• Join a pioneering joint venture at the intersection of AI and industry transformation.
• Work with a diverse and collaborative team of experts from various disciplines.
• Opportunity for professional growth and continuous learning in a dynamic field.