FinOps Observability POClientMust Have Skills: Datadog + CoralogixRole overview Own and prioritize FinOps initiatives to ensure visibility, governance, and optimization of cloud and AI spend across multi-cloud environments. Partner with stakeholders to translate cost optimization opportunities into actionable product features and delivery roadmaps.
Key responsibilities - Own and manage the FinOps product backlog including epics, features, and user stories aligned to cost optimization goals
- Drive Cloudability implementation, enhancement, and adoption for cost visibility, showback/chargeback, and reporting
- Leverage Datadog metrics/logs to identify inefficiencies, correlate performance with cost, and define optimization actions
- Define and track FinOps KPIs such as cost trends, utilization, savings, forecast accuracy, and unit economics (including AI workloads)
- Establish governance for AI consumption (LLMs, APIs, GPU workloads) including usage tracking, budgeting, and cost guardrails
- Collaborate with engineering teams to drive optimization levers (rightsizing, scheduling, reserved capacity, model optimization, prompt efficiency)
- Work closely with finance to align budgets, forecasts, and cost allocation models (showback/chargeback) across cloud and AI spend
- Enable financial planning and analysis (FP&A) for cloud and AI consumption, including forecasting, variance analysis, and ROI tracking
- Facilitate Agile ceremonies and ensure delivery of prioritized cost optimization initiatives
- Build stakeholder alignment through regular reporting, dashboards, and executive updates
- Enable governance practices including tagging standards, cost allocation, and policy adherence
Required experience - 5-8+ years in FinOps / Cloud Financial Management / Product Ownership roles
- Hands-on experience with Cloudability (Apptio) for cost reporting, dashboards, and governance
- Experience using Datadog for observability, monitoring, and performance-cost correlation
- Strong understanding of cloud cost optimization strategies (rightsizing, RI/SP planning, tagging, automation)
- Experience managing AI/ML or GenAI cost consumption (e.g., model usage, API billing, GPU/compute cost optimization)
- Experience working with finance teams on budgeting, forecasting, and cost governance
- Experience working in Agile/Scrum environments and managing product backlogs
- Ability to translate technical cost drivers into business and financial outcomes
Good to have - Experience with AWS, Azure, or GCP cost models and native tools
- Exposure to AI cost monitoring tools or frameworks (e.g., model usage tracking, token-based billing)
- Experience with Power BI or dashboards for executive reporting
- FinOps certification (Practitioner or equivalent)
