AI Platforms Analytics and Governance Lead

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.

• →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
  • →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.
• →Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
• →Developing 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.
• →Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
• →Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
• →Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.

• 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.

• Programming Language/s Certification (SQL, Python, or similar)

• 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)

• Effective Communication

• Results Orientation

• Learning Agility

• Digital Fluency

• Customer Centricity

• Impacts large functions and leads large, cross-division functional teams or projects.

• Provides highly innovative solutions to complex problems within established policy.

• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"