Director, FinOps and Cloud Optimization

FinOps Weekly; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

FinOps Weekly seeks a Director of FinOps and Cloud Optimization to lead enterprise efforts connecting strategy, governance, automation, and financial accountability for technology investments across cloud and AI.

You will partner with engineering teams, senior leadership, and technology stakeholders to improve utilization, cost transparency, and forecasting while building reporting, allocation models, and executive dashboards.

Qualifications

• 10+ years in FinOps, cloud cost management, or technology finance.
• Strong leadership for enterprise-scale optimization programs.
• Deep knowledge of AWS/Azure pricing, billing models, and optimization.
• Experience with AI/generative AI platforms.

Responsibilities

• Define and execute the enterprise FinOps strategy across cloud and AI platforms.
• Lead executive reviews of cloud, platform, and AI spend with recommendations.
• Drive forecasting, budgeting, chargeback, showback, and optimization programs.
• Partner with engineering teams to improve utilization, cost transparency.
• Lead FinOps tooling, tagging governance, allocation models, and reporting.
• Establish tagging standards and cost governance controls.
• Develop executive dashboards, KPIs, and operational scorecards.
• Own AI cost governance including credit consumption, model usage, inference costs, forecasting, allocation methods, and reporting.
• Track AI spend trends, allocations, and ROI.

Skills

FinOps leadership

Executive communication

Forecasting & budgeting

Cloud economics

AI cost governance

Tools

Coin

Cloudability

CloudHealth

Databricks

Snowflake

APIs

Automation frameworks

Job description

The Director, FinOps and Cloud Optimization leads enterprise efforts to connect strategy, governance, automation, and financial accountability for technology investments across cloud and AI usage. This role supports Fidelity Brokerage by improving visibility into spend, strengthening cost governance, and driving measurable optimization outcomes.

The position partners closely with engineering teams, senior leadership, and technology stakeholders to improve utilization, efficiency, and cost transparency. It also provides enterprise accountability for cloud and AI spend while supporting innovation and more accurate forecasting.

This role is central to the Brokerage Technology organization’s Tech Health team, which works across Enterprise Technology and Fidelity Brokerage Technology business units to align priorities, implement initiatives, and support delivery through cross-functional collaboration.

Key Responsibilities

• Define and execute the enterprise FinOps strategy across cloud and AI platforms.
• Lead executive reviews of cloud, platform, and AI spend, and present recommendations to senior leadership.
• Drive forecasting, budgeting, chargeback, showback, and optimization programs.
• Partner with engineering teams to improve utilization, efficiency, and cost transparency.
• Lead FinOps tooling, automation, tagging governance, allocation models, and reporting capabilities.
• Establish tagging standards and cost governance controls.
• Develop executive dashboards, KPIs, and operational scorecards.
• Own AI cost governance, including AI credit consumption, model usage, inference costs, forecasting, allocation methods, and executive reporting.
• Drive AI credit optimization initiatives and report on AI spend, consumption trends, business-unit allocations, and ROI.

Required Skills

• 10+ years of experience in FinOps, cloud financial management, engineering, cloud operations, or technology finance.
• Leadership experience managing enterprise-scale optimization and governance programs.
• Deep understanding of AWS, Azure, cloud economics, billing models, and optimization techniques.
• Experience supporting AI and generative AI platforms.
• Strong executive communication, financial modeling, and stakeholder management skills.
• FinOps certification.
• Experience with Coin, Cloudability, CloudHealth, Databricks, Snowflake, automation frameworks, APIs, and AI cost governance programs.

FinOps Platforms

• Coin
• Cloudability
• CloudHealth

Data & Analytics

• Databricks
• Snowflake

Automation & Integration

• Automation frameworks
• APIs

FinOps Responsibilities

• Define and run enterprise FinOps strategy across cloud and AI environments.
• Lead forecasting, budgeting, chargeback, and showback activities.
• Improve cloud and AI spend visibility through reporting, dashboards, KPIs, and scorecards.
• Establish cost governance controls and tagging standards.
• Build and maintain allocation models for cloud and AI spend.
• Lead executive-level reviews of spend and optimization opportunities.
• Govern AI credit consumption, model usage, and inference costs.
• Track AI spend trends, business-unit allocations, and ROI.

Why You Might Be Interested

This role offers the opportunity to lead enterprise-level FinOps and cloud optimization work across both cloud and AI platforms. It combines strategic leadership, executive reporting, and hands-on governance in a role with visibility across technology and business stakeholders. The position also includes responsibility for building the reporting, allocation, and control frameworks that support financial transparency and optimization at scale.