Associate eDiscovery Systems Officer

The Associate eDiscovery Systems Officer supports the development, integration, maintenance, and training of eDiscovery and cloud-based software solutions within the Office of the Prosecutor. The role involves ensuring system interoperability, compliance with legal and security standards, and promoting innovation in eDiscovery technologies.

Responsibilities

• Assist in the development of tailored eDiscovery and Cloud-based software solutions to meet the unique needs of the OTP, ensuring robust, efficient, and scalable solutions that enhance overall system capabilities.
• Facilitate and support the integration of multiple eDiscovery systems within the EDMU, ensuring seamless data flow, interoperability, and comprehensive support for eDiscovery processes.
• Provide routine maintenance, troubleshooting, and technical support for existing eDiscovery systems, ensuring their continuous and reliable operation and addressing any technical issues promptly.
• Develop and deliver comprehensive training sessions to end-users, and create detailed documentation for all eDiscovery systems and processes to ensure users are well-informed and capable of effectively utilizing the systems.
• Conduct research on emerging eDiscovery technologies and methodologies, promoting innovation and continuous improvement within EDMU.
• Assist with developing and drafting of strategic plans for integrating new technologies that enhance eDiscovery operations.
• Apply and enforce policies and standards to ensure all eDiscovery systems, Microsoft Azure and processes comply with ICC-OTP legal and security requirements, safeguarding sensitive data and maintaining system integrity.
• Perform other duties as required.

Requirements

• Advanced university degree in a scientific discipline such as computer science, software engineering, science, engineering, information science, information systems, mathematics, business, or other related area is required. A first level university degree in combination with two additional years of qualifying experience is accepted in lieu of an advanced university degree.
• A professional certification at Associate level or higher in Microsoft Azure (or equivalent public cloud provider) is desired, such as: Azure Administrator Associate (AZ-104) or Azure Developer Associate (AZ-204). Higher-level Microsoft Azure certifications (e.g. Expert-level certifications) are an asset.
• A professional certification in RelativityOne or an equivalent is desired.
• A minimum of 2 years of relevant professional experience (4 years with a first level university degree) in a complex eDiscovery setting within a legal, investigative, or law enforcement environment is required.
• A minimum of 2 years of experience using software development methodologies such as SCRUM, UML, BPMN, (Micro) service-oriented architecture and integration/development patterns is required.
• A minimum of 2 years of experience with administering Microsoft Azure ecosystem (or equivalent public cloud provider) is required.
• A minimum of 2 years of experience with administering Cognitive Services, including document translation, summarization, and video indexer is desired.
• A minimum of one year experience in electronic evidence acquisition, handling, analysis, and exploitation, including chain of custody, provenance, verification, and authenticity, is required.
• Demonstrated experience in building and supporting analytical workflows and in gathering, documenting, and assessing case-related user requirements for investigators, analysts, and legal/prosecution staff is required.
• Experience with SQL Server, PostgreSQL, Cosmos DB, or MongoDB is preferred.
• Experience with containerised infrastructures and orchestration platforms (e.g. Kubernetes) is desirable.
• Demonstrated knowledge of search algorithms, indexing, and retrieval models along with knowledge of designing, scripting, querying and programming is required.
• Familiarity with criminal law, international criminal law, or international humanitarian law is desirable.
• Familiarity with tools and platforms used for facial recognition, computer vision, and artificial intelligence, including Microsoft Cognitive Services and Large Language Models (LLMs), is also desirable.
• Proficiency in English is required.
• Working knowledge of French is desirable.
• Knowledge of another official language of the Court (Arabic, Chinese, Russian and Spanish) would be considered an asset.

Skills

• Microsoft Azure Administration
• RelativityOne
• eDiscovery
• Software Development Methodologies
• Scrum
• UML
• BPMN
• Microservices Architecture
• Cloud Computing
• Cognitive Services Administration
• Digital Evidence Handling
• Chain of Custody Procedures
• Analytical Workflow Development
• User Requirements Gathering
• SQL Server
• PostgreSQL
• Cosmos DB
• MongoDB
• Containerized Infrastructure
• Kubernetes
• Search Algorithms
• Indexing and Retrieval
• Scripting
• Programming

Languages

English, French