Key Responsibilities Operations Reporting & Analytics

• Lead the maintenance, governance, and continuous improvement of AI Operations dashboards, scorecards, KPIs, and reporting assets.

• Ensure operational, consumption, billing, and performance reporting remains accurate, reliable, and actionable.

• Track adoption, usage, consumption, cost, billing, capacity, and operational performance trends across AI platforms and services.

• Deliver recurring executive, operational, financial, and consumption reporting packages.

• Analyze operational and financial data to identify trends, risks, opportunities, and areas requiring attention.

• Investigate reporting discrepancies, consumption anomalies, and unexpected usage patterns to determine root causes and recommend corrective actions.

Data Analysis & Insights

• Perform deep-dive analysis of AI operational, financial, adoption, and consumption data.

• Correlate data from multiple sources to provide meaningful insights and recommendations.

• Develop executive-ready summaries, trend analysis, and operational performance narratives.

• Translate complex datasets into clear and actionable business insights.

Consumption, Billing & Financial Transparency

• Oversee consumption monitoring, utilization reporting, billing visibility, and cost transparency processes.

• Support forecasting, budgeting, chargeback, and show back reporting activities.

• Identify opportunities to improve operational efficiency and optimize resource utilization.

• Partner with Finance to support AI consumption reporting and cost management activities.

Data Governance & Support Readiness

• Maintain reporting standards, data quality controls, metric definitions, support documentation, and reporting governance processes.

• Ensure consistency and integrity of operational, financial, and consumption reporting.

• Support operational audits, compliance reporting, and governance reviews.

• Partner with Operations, Support, Engineering, and Finance teams to resolve reporting questions, data issues, and operational reporting needs.

Typical Deliverables

• Executive and operational dashboards

• Consumption, adoption, billing, and metering reports

• Cost, showback, and chargeback reporting

• Operational performance scorecards and trend analysis

• Forecasting and capacity utilization reports

• Reporting documentation, data dictionaries, metric definitions, and support runbooks

• Executive summaries and operational insights presentations

Success Measures

• Accurate, timely, and reliable operational reporting.

• Clear visibility into platform consumption, costs, adoption, utilization, and operational performance.

• Improved stakeholder confidence in reporting and analytics outputs.

• Increased identification of cost optimization and operational improvement opportunities.

• Reduced manual reporting effort through automation and process improvement.

• High levels of data quality, consistency, and reporting governance.

Required Qualifications Technical Skills

• Advanced proficiency in:

  • Power BI

  • Microsoft Fabric

  • Microsoft Excel (advanced formulas, Power Query, Pivot Tables, data analysis)

  • SQL

• Experience working with large operational, financial, and consumption datasets.

• Strong understanding of reporting governance, data quality management, and operational analytics.

• Experience supporting cloud-based, consumption-driven technology services.

Professional Experience

• 7+ years of experience in Technology Operations, Service Management, Business Intelligence, Reporting, Analytics, FinOps, or similar operational functions.

• Demonstrated ability to independently analyze complex datasets, identify trends and anomalies, and develop actionable recommendations.

• Experience producing executive-level operational and financial reporting.

• Strong stakeholder management, communication, and presentation skills.

Core Competencies

• Analytical problem solving

• Data-driven decision making

• Operational governance

• Financial and consumption analysis

• Reporting and dashboard stewardship

• Attention to detail

• Continuous improvement mindset

• Executive communication and storytelling with data