Certified FinOps Professional with a proven track record of building chargeback and data quality frameworks from scratch.
Deep knowledge of AWS Cost & Usage Report (CUR), Azure Consumption Sheets, Amazon Bedrock, SageMaker, Azure OpenAI, and Azure AI Studio.
Deep understanding of LLM application architecture, including tokenizers, vector databases, API gateways, and orchestration frameworks (LangChain, LlamaIndex).
Strong skills in SQL, Python, and cloud billing data pipelines.
Experience working with or leading an offshore team and interacting with technical teams as well as finance and accounting stakeholders.
Experience with FinOps tools and technologies, such as AWS Cost Explorer, Microsoft Cost Management, creation of custom FinOps dashboards
Familiarity with building automations and managing cloud infrastructure
Familiarity with the types of outcomes achievable through tools like Python, SQL, or cloud-native automation features is critical for guiding strategic automation opportunities within the team.
Experience with process improvement and defining & documenting Cloud policies and procedures to govern cost
Experience working with large data sets and tagging
Experience with forecasting AWS and Azure Gen-AI services
Experience with PowerBI and other dashboarding tools
Experience building dashboards and reports with FOCUS data
Familiarity with Hashicorp Terraform
Familiarity with ServiceNow
Professional and or Specialty AWS and Intermediate /Advanced Microsoft Certifications
