AI-Driven Infrastructure Finance Senior Associate

Aumni

Plano (TX)

Sur place

USD 90 000 - 135 000

Plein temps

14 jours+

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Résumé du poste

JPMorgan Chase & Co. seeks a Technology & Data Finance Associate to support the AWM Technology & Data organization. You will analyze financial results, build dashboards, and forecast AI-related costs across cloud infrastructure, data platforms, and token usage.

You will collaborate with Technology, Data & AI, Product, and Finance teams to deliver actionable insights, scalable analytics, and governance for AI investments, helping maximize value from these critical tech programs.

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.

Responsabilités

Analyze financial results to identify business drivers, trends, risks, and opportunities, and translate findings into actionable insights.
Produce recurring management reporting (monthly/quarterly/semi-annual/annual) and deliver ad hoc analyses for senior leadership.
Support budgeting, forecasting, and multi-period financial planning across infrastructure, cloud, data, and AI investments; build executive-ready materials to support decisions.
Manage cloud demand planning, forecasting, monthly billing, allocations, and financial reporting processes in partnership with Accounting, Finance, and Technology.
Monitor cloud/infrastructure consumption and spend to detect variances and anomalies, and drive cost optimization recommendations.
Partner with Technology, FinOps, and Infrastructure teams to improve visibility into cost drivers/utilization, align forecast assumptions and modernization plans, and track optimization initiatives, realized savings, and outcomes.
Build and maintain scalable, repeatable analytics solutions (dashboards, scorecards, visualizations) that provide near real-time transparency into AI token consumption, cloud/infrastructure utilization, and cost trends for business managers, CFOs, and technology leaders.
Analyze large, complex datasets to identify usage patterns, consumption drivers, optimization opportunities, and emerging financial risks; develop automated reporting/monitoring to proactively flag spending anomalies, consumption spikes, and forecast variances.
Develop and evolve token forecasting methodologies, attribution models, allocation frameworks, and governance processes for AI expenses; evaluate model usage, infrastructure efficiency, and vendor pricing/consumption-based costs, translating technical metrics into executive-ready financial impacts and recommendations while driving continuous improvement in automation, data quality, forecast accuracy, and overall analytical capabilities.
Lead financial reviews and investment assessments to support strategic decisions, ensuring analysis ties spend to outcomes and business impact.
Partner across Technology, Data & AI, Infrastructure, Business Management, and Finance to influence strategy and execution—acting as a change agent to strengthen visibility, governance, and decision‑making across technology investments.