AI Platforms Strategy & Governance Lead

Information Technology Senior Management Forum; Spring (TX); On-site; USD 130,700 - 205,200; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous paid time off

Parental leave

Holidays

Job summary

HP, Inc. in the United States seeks a senior data analytics leader blending data science and business analytics to monitor and optimize AI platform usage, deliver predictive insights, and drive cost management across enterprise AI investments.

The role collaborates with security, legal, privacy, and finance teams to develop budget guardrails, forecasting models, and executive dashboards that demonstrate business value and ROI.

Qualifications

• 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)

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, 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.

Skills

Power BI

Python (Programming Language)

SQL (Programming Language)

Data Visualization

Data Analysis

Machine Learning

Tableau (Business Intelligence)

R (Programming Language)

Data Warehousing

Statistics

Data Management

Education

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or related discipline

Tools

SAS (Software)

Job description

HP, Inc. in the United States seeks a senior data analytics leader blending data science and business analytics to monitor and optimize AI platform usage, deliver predictive insights, and drive cost management across enterprise AI investments.

The role collaborates with security, legal, privacy, and finance teams to develop budget guardrails, forecasting models, and executive dashboards that demonstrate business value and ROI.