Jobs · OTHR · New Jersey

AI Governance & Financial Intelligence Analyst Technology | AI/ML Platform

IT Accel, Inc. · Mount Laurel, NJ · 2 wk ago
On-siteOTHRFull-time

Responsibilities

  • Develop dashboards and reporting to monitor AI platform adoption, usage, and investment across business units.
  • Analyze AI consumption trends, including API usage, token consumption, licensing, and overall platform costs.
  • Create executive reporting that tracks AI spending, business value, and key performance indicators.
  • Partner with Technology and Finance teams to support AI budgeting, forecasting, and cost transparency.
  • Assist in measuring the business impact and ROI of AI initiatives by developing meaningful metrics and reporting.
  • Support AI governance initiatives by tracking approved AI platforms, usage trends, and reporting requirements.
  • Collaborate with AI Platform, Product, Risk, and Finance teams to improve reporting processes and data quality.
  • Identify opportunities to improve reporting, operational efficiency, and AI cost optimization.
  • Present findings and recommendations to technology and business stakeholders.

Qualifications

  • 5+ years of experience in Business Intelligence, Data Analytics, Financial Analysis, Technology Reporting, or a related field.
  • Experience developing dashboards using Power BI, Tableau, or similar visualization tools.
  • Strong SQL skills with the ability to analyze and interpret large datasets.
  • Advanced Excel skills and experience creating financial or operational reports.
  • Experience working with technology organizations, cloud platforms, or enterprise software initiatives.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to translate technical and financial data into meaningful business insights.

Preferred Qualifications

  • Experience supporting AI, cloud, or digital transformation initiatives.
  • Familiarity with AI platforms such as Azure OpenAI, OpenAI, Anthropic, Microsoft Copilot, or AWS Bedrock.
  • Understanding of AI usage metrics, token consumption, API-based services, or technology cost reporting.
  • Experience with Python for data analysis or automation.
  • Experience in financial services or other highly regulated industries is preferred.

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