3 дня назад
AI & Decision Intelligence Director
135 200 - 236 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI & Decision Intelligence Director (AI/ML): Establishing and scaling AI, machine learning, predictive analytics, and intelligent automation capabilities for Revenue Intelligence with an accent on commercial decision-making, forecasting, customer intelligence, and productivity. Focus on deploying production machine learning solutions, building LLM and agentic AI applications, and creating scalable automation and decision-support frameworks.
Location: Onsite at Corporate HQ in Irving, Texas, United States
Estimated hiring range: $135,200–$236,600 per year, plus incentive eligibility.
Company
is a large B2B organization developing revenue intelligence and commercial decision-support capabilities.
What you will do
- Develop and execute the Revenue Intelligence roadmap for AI, machine learning, and intelligent automation.
- Identify and prioritize high-value AI and automation use cases across Marketing, Sales, Revenue Operations, Analytics, and Technology.
- Design, develop, deploy, and monitor machine learning, predictive analytics, and AI-powered solutions in production.
- Build forecasting, propensity, recommendation, customer intelligence, and decision-support models.
- Develop LLM-powered and agentic AI applications and workflows to improve productivity and insight generation.
- Establish scalable delivery frameworks, measure business impact, and manage external vendors and contractors.
Requirements
- Seven or more years of relevant experience.
- Experience developing and deploying machine learning or AI solutions in production environments.
- Experience with LLMs, agentic AI, predictive modeling, forecasting, recommendation systems, customer intelligence, or decision-support capabilities.
- Strong programming, analytical, problem-solving, and stakeholder communication skills, including Python and SQL.
- Experience with Azure AI, Azure OpenAI, Databricks, and Power Platform.
- Experience working in large B2B organizations and collaborating with commercial analytics or go-to-market functions.
Nice to have
- Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or a related field.
- Experience managing external vendors or consulting partners.
Culture & Benefits
- Inclusive environment focused on employee engagement and authentic contribution.
- Opportunities for personal and professional development.
- Comprehensive benefits plan.
- Incentive-eligible compensation.
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