Cloud & AI FinOps Engineer

The Hartford; Hartford, Northern (CT, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

The Hartford seeks a Sr Cloud Engineer to advance the enterprise cloud program across AWS, GCP, and Azure cost-management domains. You will translate cloud usage into actionable insights, optimize deployments, and partner with finance, product, and engineering teams to maximize value and accountability.

You will own cost analytics, budgeting, forecasting, and governance, leveraging tools like Apptio Cloudability and AWS Cost Explorer, while ensuring security and governance standards across

Qualifications

• 5+ years of experience in cloud engineering, architecture, operations, development, IT finance, business analytics, or FinOps, including substantial hands-on responsibility for AWS cost and usage management.
• Demonstrated experience operating cloud financial management processes at enterprise scale, including allocation, budgeting, forecasting, anomaly management, optimization, and savings realization.
• Strong knowledge of AWS pricing, billing, invoicing, cost allocation, and optimization mechanics, including AWS Organizations, consolidated billing, Cost Explorer, Cost and Usage Reports, Savings Plans, Reserved Instances, and AWS Marketplace.
• Experience using SQL, Python, advanced Excel, or comparable tools to analyze large datasets, automate recurring work, and produce forecasts, recommendations, and financial models.

Responsibilities

• Administer and improve cloud financial management platforms and cost tools.
• Monitor cloud cost trends, investigate anomalies, and coordinate root-cause analysis.
• Develop cost estimates, unit-cost models, and scenarios for workloads migrating to or expanding in the cloud.
• Lead or participate in governance, reporting, and optimization initiatives across teams.

Skills

AWS cost management

Cloud cost optimization

Data analysis

Python

SQL

Excel

Tools

IBM Apptio Cloudability

AWS Cost Explorer

Cost and Usage Reports

Job description

Sr Cloud Engineer - IE07NEWe're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.**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, forecasting, automation, governance, and operational effectiveness.* Help extend FinOps practices beyond public cloud, where relevant, to AI platforms, SaaS, licensing, and other variable technology costs.* Develop guardrails for AI and machine-learning consumption, including visibility into GPU, API, token, model, and inference usage; alerting for abnormal consumption; and transparent allocation to products, teams, and business outcomes.* Create and maintain documentation, operating procedures, metric definitions, and standards; plan and execute work using Agile practices.* Perform other duties as assigned.**Required Qualifications*** 5+ years of experience in cloud engineering, architecture, operations, development, IT finance, business analytics, or FinOps, including substantial hands-on responsibility for AWS cost and usage management.* Demonstrated experience operating cloud financial management processes at enterprise scale, including allocation, budgeting, forecasting, anomaly management, optimization, and savings realization.* Strong knowledge of AWS pricing, billing, invoicing, cost allocation, and optimization mechanics, including AWS Organizations, consolidated billing, Cost Explorer, Cost and Usage Reports, Savings Plans, Reserved Instances, and AWS Marketplace.* Working knowledge of cloud architecture and cost drivers across compute, containers, databases, serverless, storage, data, networking, observability, and AI or machine-learning services.* Experience with cloud billing and cost management platforms; IBM Apptio Cloudability experience is strongly preferred.* Experience using SQL, Python, advanced Excel, or comparable tools to analyze large datasets, automate recurring work, and produce forecasts, recommendations, and financial models.* Working knowledge of finance, accounting, variance analysis, unit economics, and business analytics.* Ability to define and communicate showback or chargeback models, cost allocation methods, optimization strategies, and cost-performance-value tradeoffs to technical and non-technical audiences.* Ability to use AI-assisted tools responsibly for analysis and automation, validate generated insights, and work within enterprise security, privacy, data, and model-governance requirements.* Demonstrated ability to work independently, manage deliverables efficiently, influence without direct authority, and collaborate across engineering, finance, product, procurement, and business teams.* Strong written and verbal communication skills, sound judgment, attention to detail, intellectual curiosity, and a customer-focused mindset.**Preferred Qualifications*** Experience with AWS, GCP (and some Azure) pricing, billing, reporting, commitment management, and optimization capabilities.* Experience with business intelligence and visualization platforms such as Microsoft Power BI, Tableau, or Google Looker.* Experience engineering repeatable data