Architect/Designer

Job Summary (List Format) – Architect/Designer (FinOps, Cloud, AI, Data Analytics)

• Serve as a key link between FinOps Engineering, Cloud Platform, Finance, and Data Analytics teams.
• Drive product ownership for FinOps capabilities, including cost attribution, optimization, forecasting, and AI/tokenomics governance.
• Translate business strategies into actionable product roadmaps, requirements, and measurable outcomes.
• Collaborate with cross-functional stakeholders (product, engineering, finance, data, architecture) to deliver value-driven solutions.
• Define and operationalize unit economics (e.g., cost per transaction, policy, AI inference) to link technology spend to business outcomes.
• Develop frameworks and reusable data products to analyze unit cost trends and inform decision-making.
• Establish AI cost governance, including model usage monitoring, tokenomics, and cost/performance tradeoffs.
• Identify and drive AI optimization strategies (e.g., prompt efficiency, right-sized model selection, capacity planning).
• Deliver cloud and container workload optimization across AWS, Azure, GCP, and hybrid environments.
• Improve Kubernetes cluster efficiency, autoscaling, rightsizing, and shared-cost allocation.
• Oversee cloud billing, savings programs, reservations, and vendor negotiations for cost savings.
• Integrate cost insights and policies into engineering workflows (CI/CD, Terraform, IaC, observability).
• Enable teams to estimate and control costs during design, deployment, and operations.
• Manage data integration and analytics platforms, ensuring quality insights for FinOps decision-making.
• Build and manage forecasts, anomaly detection, dashboards, and cost recommendations.
• Lead governance and enablement sessions to align technical decisions with financial/business objectives.
• Establish standards and processes for accountability, transparency, and efficiency.
• Utilize automation and analytical tools (APIs, Terraform, Python, SQL, Excel, BI, Cloudability, CloudHealth, etc.).
• Communicate and influence effectively with technical and financial stakeholders.
• FinOps, Sustified Practitioner, or TBM certifications are highly desirable.

Ideal for candidates with:

• Strong background in cloud cost management and FinOps practices.
• Experience in AI cost control, cloud/container optimization, and product management.
• Technical proficiency in automation, data modeling, and financial analysis.
• Excellent stakeholder management and cross-functional collaboration skills.