About this opportunity
Information Technology Senior Management Forum lists this AI Platforms Analytics and Governance Lead opportunity in spring, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
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
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.
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
knowledge, skills, and experience.
Benefits:
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
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.
Disclaimer
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.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Yes
Equal Opportunity Employer (EEO)
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”
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Worksite address
spring, TX, 77391, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.