AI Platforms Analytics and Governance Lead

About the role

The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.

Responsibilities

• Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
• Define platform standards, governance policies, and model consumption guidelines.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Partner with security, legal, privacy, and compliance teams.
• Develop budget guardrails and cost allocation strategies.
• Create consumption forecasting models and executive dashboards.
• Identify optimization opportunities including:
  • Prompt engineering
  • Prompt caching