AI Platforms Analytics and Governance Lead

HP•Houston, TX

1d•Onsite

About The Position

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.

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 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

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.

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