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About the Role

This position combines data analysis and data science disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. It ensures sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.

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, and agent orchestration improvements.
Define and create 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.
Leverage recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
Drive innovation and integration of new data science related technologies and practices into projects and activities.
Stay up-to-date with emerging technologies and trends in the business intelligence field, and recommend innovative solutions.
Act as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
Provide mentorship and guidance to lower-level employees, 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.
Partner with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.

Requirements

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 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

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)
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Location

United States of America

Work Type

Full time

Experience Level

7+ years of work experience

Education Level

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.

Salary/Compensations

$130,700 to $205,200 USD annually

Benefits

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

About the Company

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).

Equal Opportunity

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"