AI Platforms Analytics and Governance Lead

Job Summary

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. This role combines both data analytics and data science to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments.

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.
• Create budget guardrails and cost allocation strategies.
• Develop consumption forecasting models and executive dashboards.
• Identify optimization opportunities including: Prompt engineering, Prompt caching, Model routing, Token reduction, Context window optimization, RAG optimization, Batch processing, Agent orchestration improvements.
• Defines and creates extensive plans, data collection and analysis procedures, and data insight visualizations for assigned projects.
• Analyze AI platform usage, token consumption, licensing utilization, and user adoption trends.
• Develop forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
• Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
• Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
• Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
• Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
• Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
• Create executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
• Perform statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
• Parenter with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.

Education & Experience

• Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
• Preferred Certifications: Programming Language/s Certification (SQL, Python, or similar), Knowledge & Skills: Agile Methodology, Business Intelligence, Computer Science, Dashboard, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Visualization, Data Warehousing, Extract Transform Load (ETL), Machine Learning, Power BI, Python (Programming Language), R (Programming Language), SAS (Software), SQL (Programming Language), Statistics, Tableau (Business Intelligence Software).

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
• Impact & Scope: Impacts large functions and leads large, cross-division functional teams or projects.
• Complexity: Provides highly innovative solutions to complex problems within established policy.

Pay & Benefits

The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related Benefits knowledge, skills, and experience. HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, Additional flexible paid vacation and sick leave
• US benefits overview: https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.