## About the Role

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.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Azure

### 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.