Agentic AI (Artificial Intelligence) Business Consultant
On-siteSingapore, Singapore
Job Summary
Define operating conditions for autonomous AI systems by translating business intent into machine-verifiable constraints, governance policies, and compliance frameworks. Lead structured sign-off reviews for agent deployments, manage approval processes for authority expansion, and prepare compliance documentation meeting EU AI Act requirements. Develop AI business cases with quantified benefit models, present proposals to leadership, and maintain a prioritized pipeline of initiatives scored against business value and risk. Build stakeholder maps across business units, conduct discovery engagements to identify automation opportunities, and track realized outcomes against benefit registers. Support the Head of CoE in producing board-level governance reporting on AI business impact and regulatory status.
Required Qualifications
- GDPR and data protection law, including data protection impact assessment (DPIA) methodology for AI systems
- Enterprise AI governance: how to design meaningful human oversight into AI systems, not just document it
- AI governance frameworks: working knowledge of NIST AI Risk Management Framework, ISO/IEC 42001, and AI Act obligations
- Business process analysis and modelling: BPMN, value stream mapping, or equivalent — sufficient to document AI workflows and decision logic
- Data analysis and reporting: Excel, Power BI, or equivalent — for benefit tracking, compliance dashboards, and initiative pipeline management
- Familiarity with enterprise AI platforms: Azure AI, Anthropic Claude, or Google Vertex AI — sufficient to scope initiatives and assess feasibility
- Ability to situate AI initiatives within broader enterprise technology strategy — experience with enterprise architecture methods is an advantage
Desired Qualifications
- Field service, fleet management, or industrial operations contexts — prior exposure to the RRPS domain is an advantage
- Degree in Business, Law, Computer Science, or a related discipline
- 5+ years in management consulting, enterprise architecture, or AI strategy roles
- Experience delivering AI governance frameworks or compliance programmes in regulated industries
- Certified in a recognised governance or risk framework (e.g. ISO 42001, CIPP/E, Prince2, or equivalent)
- EU AI Act: high-risk system classification, conformity assessment, and transparency obligations for AI systems affecting workers
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