AI Platforms Analytics and Governance Lead

HP Inc.

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Spring, TX
Salary
$130,700–$205,200 / yr
Posted
44 days ago
Freshness
Confirmed live yesterday
Closes
Jan 25, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $168k
$116k most similar roles pay here $268k

This role pays less than 68% of similar roles. Most pay $159,250–$246,150 — the shaded band above. At the midpoint, this role pays about $168k versus about $203k for comparable roles.

Based on 239 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 104 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 90 roles with salary data.

Most-posted roles

View all roles at HP Inc.

At a glance

TL;DR · AI Platforms Analytics and Governance Lead

The AI Platforms Analytics and Governance Lead manages enterprise AI platforms including GitHub Copilot and OpenAI to ensure sustainable adoption through balanced governance, cost management, and value realization. This role combines data science and analytics to monitor usage patterns, develop consumption forecasting models, and create executive dashboards for tracking ROI. Day-to-day responsibilities include defining platform standards, identifying optimization opportunities like prompt engineering and RAG optimization, and partnering with security and legal teams to establish policy. The candidate will utilize a technical toolkit including Python, SQL, R, SAS, Power BI, and Tableau while applying skills in machine learning, statistics, ETL processes, and data modeling. This role addresses the complex challenge of managing large-scale AI investments by providing predictive analytics and cost allocation strategies to optimize token consumption and infrastructure usage across the organization.

What you'll do

  • Manage and optimize enterprise AI platforms including GitHub Copilot and Azure OpenAI.
  • Define platform standards, governance policies, and model consumption guidelines for the organization.
  • Develop budget guardrails, cost allocation strategies, and forecasting models for AI credit consumption.
  • Identify technical optimization opportunities such as prompt engineering, token reduction, and RAG optimization.
  • Create executive dashboards and KPIs to measure AI adoption and business value realization.
  • Perform statistical analysis and machine learning to detect anomalies and forecast spend.
  • Evaluate emerging AI technologies and recommend adoption strategies to leadership.

What we're looking for

  • A four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
  • At least 10 years of work experience in data analytics, database management, statistical analysis, or a related field.
  • Proficiency in programming languages such as Python, SQL, or R.
  • Expertise in machine learning, statistics, and predictive analytics to identify trends and anomalies.
  • Experience with business intelligence tools including Power BI and Tableau for creating executive dashboards.
  • Knowledge of data management practices including ETL processes, data modeling, and data quality.
  • Ability to manage AI platform governance, cost optimization, and technical strategies like RAG and prompt engineering.
  • Strong communication skills to influence executive leadership and lead cross-functional teams.

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