4 дня назад
AI Platforms Analytics and Governance Lead
130 700 - 205 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Platforms Analytics and Governance Lead (AI Platforms and Data Science): Managing enterprise AI platforms and developing analytics, forecasting models, and executive dashboards with an accent on governance, consumption monitoring, and cost optimization. Focus on optimizing prompt engineering, model routing, token usage, RAG, and agent orchestration while driving data-informed decisions across security, finance, engineering, and business teams.
Location: Spring, Texas, United States of America; relocation available.
Salary: $130,700–$205,200 USD annually, with additional bonus and/or equity opportunities for candidates in the United States.
Company
develops technology products and enterprise solutions, including platforms and tools supporting large-scale business operations.
What you will do
- Manage and optimize enterprise AI platforms, including GitHub Copilot and OpenAI.
- Define platform standards, governance policies, model consumption guidelines, budget guardrails, and cost allocation strategies.
- Analyze AI platform usage, token consumption, licensing utilization, user adoption, and business value realization.
- Develop forecasting models for AI credit consumption, budgets, capacity needs, and spending, along with executive dashboards and KPIs.
- Identify optimization opportunities across prompt engineering, prompt caching, model routing, token reduction, context windows, RAG, batch processing, and agent orchestration.
- Partner with security, legal, privacy, compliance, engineering, finance, procurement, platform owners, and business stakeholders to drive data-informed decisions.
Requirements
- Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline, or equivalent experience.
- Typically 10+ years of experience in data analytics, database management, statistical analysis, or a related field.
- Experience with data analysis, data science, statistical analysis, machine learning, data modeling, data visualization, and business intelligence.
- Programming experience with SQL, Python, or similar languages.
- Experience with dashboards, data warehousing, ETL, data quality, and analytics tools such as Power BI, Tableau, R, or SAS.
- Ability to lead cross-division projects, set functional strategy and policy, influence executive decisions, and mentor employees.
Culture & Benefits
- Health, dental, and vision insurance.
- Short- and long-term disability coverage, life insurance, and an employee assistance program.
- Flexible spending account and flexible paid vacation and sick leave.
- Four to twelve weeks of fully paid parental leave based on tenure.
- Eleven paid holidays.
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