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Finance Operations (FinOps) Analytics Architect (Agentic AI Expertise) - Vice President

Singapore, Singapore · Job Posted April 24, 2026
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Job Description

The FinOps Analytics Architect is a senior technical leader responsible for driving cloud cost optimization, building cost observability platforms, and enabling proactive cloud financial governance. This role now incorporates Agentic AI architecture, governance, and cost-control capabilities as organizations shift from traditional dashboards to autonomous optimization systems.

Job Responsibility

  • Conduct deep architectural reviews of high-spend cloud services to identify inefficiencies
  • Recommend code-level and infrastructure changes to reduce spend
  • Ensure engineering teams adopt cost-efficient design standards
  • Build cloud cost observability and on-prem analytics frameworks
  • Develop forecasting models, dashboards, anomaly-detection systems, and financial models
  • Integrate data from cloud providers, usage logs, telemetry, and AI agent activity streams
  • Develop automated governance scripts and IaC controls
  • Implement tagging standards, cost attribution, chargeback/showback frameworks, and compliance policies
  • Manage FinOps governance foundations
  • Design and integrate Agentic AI workflows into FinOps
  • Establish per-agent cost attribution and traceability
  • Build telemetry pipelines with cost metadata
  • Design dynamic and iterative budgeting models for agentic workflows
  • Implement policy-driven controls for autonomous agents
  • Govern agent estates using enterprise-grade tooling
  • Leverage or build Citi AI optimization agents
  • Oversee safe implementation of agent-suggested optimizations
  • Manage cost implications of LLM, multi-agent, and RAG architectures
  • Optimize model selection, context length, inference endpoints, and caching strategies
  • Partner with FinOps Champions, engineering teams, and business stakeholders
  • Promote organizational alignment
  • Communicate cost insights to executives and product teams
  • Drive ongoing cloud and agent-driven optimization initiatives
  • Develop long-term cloud, AI, and automation strategy

Requirements

  • Expertise in cloud architecture (AWS, Azure, GCP) with hands-on cost optimization experience
  • Strong mastery of FinOps principles, cost models, and cloud financial governance
  • Experience with Python, SQL, Terraform/IaC, cloud billing datasets, and telemetry instrumentation
  • Understanding of LLMs, multi-agent architectures, RAG workflows, and AI operational cost models
  • Ability to design secure, monitored, and budget-controlled environments for autonomous agents

Nice to have

  • FinOps Certified Practitioner / FinOps Certified Professional
  • Experience with AI agent platforms such as Azure Copilot Optimization Agent or enterprise agent governance systems
  • Background in MLOps, AI Systems Architecture, or autonomous AI engineering
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