Cloud & AI FinOps Engineer

thehartford; Hartford (CT); On-site; USD 90,000 - 130,000; Full time

Job summary

The Hartford is seeking a Cloud FinOps Analyst to transform cloud and AI consumption data into actionable insights, improve forecasting, and identify optimization opportunities across the enterprise.

This onshore role partners with application owners, engineers, product teams, finance, procurement, and leadership to embed cost, performance, reliability, and sustainability considerations into cloud design and capacity decisions.

Qualifications

• Experience in cloud cost management or FinOps practices.
• Strong analytical and data interpretation skills.
• Ability to partner with cross-functional teams including finance, engineering, and product.

Responsibilities

• Administer and optimize cloud cost management platforms and tools.
• Monitor cloud and AI cost and usage trends; investigate anomalies and variances.
• Develop cost estimates and scenarios for workloads migrating to or scaling in the cloud.
• Identify and deliver optimization opportunities such as rightsizing, scheduling, and resource cleanup.
• Collaborate with architects, engineers, product teams, and leadership to embed cost considerations into design and capacity decisions.
• Produce concise management reporting that shows savings and ownership.

Job description

Role Overview

The Enterprise Cloud Services team supports The Hartford's multi-cloud transformation by providing a robust, optimized, self-service cloud experience that enables business value for our customers. The FinOps Center of Enablement partners across technology, finance, product, and business teams to strengthen financial accountability and maximize the value of cloud investments.

The Cloud & AI FinOps Analyst is an onshore, hands‑on role that blends cloud engineering knowledge, financial analysis, data analytics, automation, and stakeholder consulting. This individual will turn cloud and AI consumption data into actionable insights, improve forecasting and allocation, identify and help deliver optimization opportunities, and mature FinOps practices across the enterprise. The role partners with application owners, engineers, architects, product teams, finance, procurement, and leadership, with primary depth in AWS, strong working knowledge of GCP, and familiarity with Azure cost‑management concepts.

Key Responsibilities

Cloud Cost Management and Optimization

• Administer and improve cloud financial management platforms, including IBM Apptio Cloudability, AWS native cost tools, and applicable GCP or Azure capabilities.
• Monitor cloud and AI cost and usage trends; investigate anomalies, billing discrepancies, unallocated spend, and material forecast variances; and coordinate root‑cause analysis and corrective action.
• Build a prioritized optimization pipeline covering rightsizing, idle‑resource cleanup, storage lifecycle, workload scheduling, architecture changes, and service‑selection tradeoffs; track recommendations through implementation and validate realized savings.
• Analyze and manage commitment‑based discount opportunities, including AWS Savings Plans and Reserved Instances, Spot, and GCP committed use discounts; monitor coverage, utilization, break‑even points, and financial risk.
• Partner with architects, cloud engineers, reliability engineers, developers, product teams, and application owners to embed cost, performance, reliability, and sustainability considerations into design and capacity decisions.
• Develop cost estimates, unit‑cost models, and scenarios for workloads migrating to, scaling within, or modernizing in the cloud.
• Apply AI‑assisted analytics and automation to anomaly detection, forecasting, recommendation prioritization, and narrative reporting, while validating outputs and maintaining appropriate data, security, and governance controls.

Financial Planning, Reporting, and Analytics

• Support monthly, quarterly, and annual budget and forecast cycles for cloud and AI services, including consumption, show back or chargeback, savings, commitment, and demand planning.
• Develop and improve trusted reports, dashboards, forecasts, alerts, and executive‑ready insights using standardized cost and usage data.
• Analyze large and complex datasets, build financial and unit‑economics models, and translate technical cost drivers into clear recommendations and business tradeoffs.
• Perform variance analysis and maintain month‑end and quarter‑end reporting, operational metrics, usage statistics, and KPI or OKR measures.
• Establish and track metrics such as forecast accuracy, allocation coverage, commitment utilization, realized savings, optimization adoption, cost per transaction, cost per customer or product, and-where applicable-cost per token, inference, model, or AI workload.
• Help cloud consumers understand their bills, cost drivers, efficiency trends, business impact, and options for aligning consumption with goals and budgets.
• Produce concise management reporting that distinguishes identified, approved, implemented, and realized savings and clearly assigns ownership for follow‑through.

FinOps Governance and Enablement

• Promote a FinOps culture of accountability, collaboration, transparency, and continuous improvement across distributed onshore and global teams.
• Support the development, automation, integration, standardization, and governance of FinOps policies, processes, controls, and best practices.
• Manage and improve tagging and labeling standards, cost allocation, account and project hierarchies, data quality controls, and policy enforcement.
• Lead or participate in recurring business reviews, optimization forums, and knowledge‑sharing sessions; communicate findings effectively to engineering, finance, product, business, and leadership audiences.
• Provide consulting and training that advances FinOps capability maturity, self‑service adoption, and team ownership of technology consumption.
• Evaluate FinOps, observability, data, and AI technologies that can improve reporting, forecast