AI-Driven Infrastructure Finance Analyst

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Technology & Data Finance Associate to partner across Finance, Technology, Data & AI.

You will help build financial management capabilities for AI-enabled infrastructure, cloud, and data investments, translating technical metrics into actionable business insights. This role blends financial planning, analytics, and governance, delivering dashboards, forecasting models, and guidance that informs technology investments and cost optimization for senior

Qualifications

Bachelor's degree in Finance, Economics, Data Analytics, MIS, CS, Engineering, or related discipline.
3+ years of experience in financial planning & analysis, business intelligence, analytics, data science, strategy, technology finance, FinOps, or related functions.
Strong analytical and problem-solving skills with the ability to independently explore large datasets and identify meaningful business insights.
Advanced proficiency with data and analytics tools such as SQL, Databricks, Tableau, Power BI, Alteryx, Python, Excel, or similar platforms.
Experience developing dashboards, visualizations, and executive-ready reporting.
Experience performing forecasting, scenario modeling, financial analysis, and executive storytelling.
Strong communication, presentation, collaboration, and influence skills.
Ability to thrive in a fast-paced environment and manage multiple priorities.

Responsibilities

Analyze financial results to understand business drivers, emerging trends, risks, and opportunities.
Produce monthly, quarterly, semi-annual, and annual management reporting deliverables, as well as ad hoc analyses for senior leadership.
Support budgeting, forecasting, and financial planning processes across infrastructure, cloud, data, and AI technology investments.
Develop executive presentations and management materials that translate complex data into actionable business decisions.
Manage cloud demand planning, forecasting, monthly billing, allocations, and financial reporting processes with stakeholders.
Monitor infrastructure consumption and spending trends to identify budget variances, anomalies, and optimization opportunities.
Partner with technology leaders to improve visibility into cloud cost drivers, utilization metrics, modernization initiatives, and forecast assumptions.
Collaborate with FinOps and Infrastructure teams to track optimization initiatives, realized savings, and business outcomes.
Develop and maintain scalable analytics solutions that provide near real-time visibility into AI token consumption, cloud infrastructure utilization, and cost trends.
Analyze large and complex datasets to identify usage patterns, consumption drivers, optimization opportunities, and emerging financial risks.
Support the development of token forecasting methodologies, attribution models, allocation frameworks, and governance processes for AI-related expenses.
Design repeatable dashboards, scorecards, and visualizations that improve transparency and accelerate decision-making for business managers, CFOs, and technology leaders.
Develop automated reporting and monitoring capabilities that proactively identify spending anomalies, consumption spikes, and forecast variances.
Evaluate AI model usage, infrastructure efficiency, vendor pricing changes, and consumption-based technology expenses to provide actionable recommendations.
Translate technical metrics and consumption patterns into business insights and financial impacts for executive audiences.
Drive continuous improvement in reporting automation, data quality, forecasting accuracy, and analytical capabilities across infrastructure and AI financial management processes.
Lead financial reviews and assessments across the organization to support strategic business and investment decisions.
Partner closely with Technology, Data & AI, Infrastructure, Business Management, and Finance teams to deliver outcome-based solutions.
Act as a change agent by identifying innovative ways to improve visibility, governance, and decision-making across technology investments.
Build strong relationships across technical and non-technical stakeholders to influence strategy and drive execution.