Collaborate closely with business stakeholders, data scientists, engineers, and IT teams to translate business requirements into technical AI solutions.
Design, build and optimise scalable, maintainable data pipelines that connect approved source systems — databases, data warehouses and data lakes to a governed analytics environment supporting AI-led continuous assurance and monitoring.
Govern the identity lifecycle: Establish controls for privileged accounts, service accounts, application identities, API credentials, workload identities and AI agents, including discovery, onboarding, recertification, credential rotation and decommissioning.
Advanced Modeling: Apply dimensional modeling (Kimball/Inmon) to ensure data structures reflect actual business processes, making them intuitive for AI models and analysts alike.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Review and challenge model evaluation results, including assessments of performance (e.g. groundedness, factual accuracy, retrieval quality, relevance, and instruction adherence), and evaluate the reliability of LLM-as-a-Judge methodologies through calibration against human-labelled benchmarks.
Knowledge Base Architecture: Build and iterate on domain knowledge bases, codifying professional judgment criteria, standard analysis protocols, and industry know-how into governable, reusable digital assets.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.