Complexio’s Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.
Complexio is a joint venture between Hafnia and Símbolo, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan.
Join a dynamic team at the forefront of revolutionising human-machine interaction through generative AI in collaboration with global partners. We are poised to redefine the essence of human-AI collaboration, unlocking hidden patterns and insights in data that were once considered the exclusive domain of human intellect.
We’re seeking an exceptional person to lead our efforts in implementing a sophisticated privacy-preserving access control framework across our autonomous business process automation platform. You will ensure our system maintains the highest standards of data privacy, security, and regulatory compliance while enabling powerful autonomous capabilities.
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
Benefits
- 5+ years of experience in information security, data privacy, or access control systems
- Proven track record designing and implementing complex security architectures
- 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
Preferred Skills & Experience
- Knowledge of AI/ML systems and the unique privacy challenges they present
- Understanding of data privacy regulations (GDPR, CCPA) and their technical implementation requirements
- 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 system
- Experience with graph databases (particularly Neo4j) and their security models
- Security certifications such as CISSP, CIPT, or CIPP/E
