2 часа назад
AI Manager - Product Management (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Manager - Product Management (AI): Leading the AI product management function and developing AI products that translate enterprise business priorities into measurable outcomes with an accent on product strategy, discovery, validation, and adoption. Focus on managing AI Product Owners, defining value hypotheses and success measures, and scaling responsible AI product management practices across an enterprise portfolio.
Location: Midland, Texas, United States
Company
is an energy company developing and managing AI capabilities for an asset-intensive enterprise environment.
What you will do
- Lead, coach, and develop AI Product Owners and product professionals while maintaining consistent product management standards.
- Translate enterprise opportunities into AI product strategies, roadmaps, requirements, business cases, and prioritized delivery plans.
- Define business problems, target users, workflows, success measures, acceptance criteria, value hypotheses, and business sponsorship for AI products.
- Establish AI-native validation practices, including prototyping, workflow simulation, data exploration, user testing, vendor evaluation, and user acceptance testing.
- Manage product dependencies, delivery risks, adoption barriers, and continuous improvement across business and technology teams.
- Communicate portfolio performance, risks, investment needs, and realized value to senior leadership.
Requirements
- Bachelor’s degree in Business, Engineering, Management Information Systems, or a related field.
- 10+ years of experience in product management, product leadership, digital delivery, or a related function in a technology-intensive enterprise environment.
- 5+ years of people management experience with a record of developing high-performing teams.
- Experience leading multiple concurrent products or initiatives and establishing product strategies, roadmaps, business cases, and prioritization frameworks.
- Experience balancing strategic direction, delivery execution, stakeholder needs, governance, and product or portfolio KPIs.
- Participation in E-Verify applies to employment eligibility verification.
Nice to have
- Experience in oil and gas, energy, or another asset-intensive industrial sector.
- Experience deploying generative AI, machine learning, or advanced analytics products in production.
- Knowledge of AI lifecycle management, responsible AI practices, and enterprise product operating models.
- Experience scaling product management functions, portfolio governance models, or AI product capabilities.
- Experience applying AI-enabled tools and rapid prototyping during product discovery and solution validation.
Culture & Benefits
- Full-time employment.
- Cross-functional collaboration with business leaders, AI portfolio leadership, delivery teams, change management, training, and enablement teams.
- Focus on measurable business outcomes, user adoption, continuous improvement, and responsible AI practices.
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