AI Operations Reporting & Analytics Lead

Position Summary

The AI Operations Reporting & Analytics Lead is responsible for managing operational reporting, consumption analytics, billing visibility, data quality, and support readiness across enterprise AI platforms and services. This role ensures stakeholders have accurate, timely, and actionable insights into platform usage, cost trends, adoption, performance, operational health, and consumption patterns.

The ideal candidate is highly analytical, capable of independently diving into large and complex datasets to identify trends, anomalies, operational risks, cost drivers, and optimization opportunities. This individual serves as a trusted operational partner to leadership by transforming data into actionable insights that support informed decision-making and continuous operational improvement.

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

8+ 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