AI Enablement Manager
New
S
Story CannabisCannabis Technology
Remote - United StatesFull-TimeManager
Salary130,000 - 150,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- Project ManagementBusiness AnalysisStakeholder managementProcess improvementChange ManagementLLM
Requirements
- Bachelor’s degree in Technology, AI, Machine Learning, Data Science or related field.
- 3+ years of experience in operations, process improvement, digital transformation, project management, AI enablement, or related business functions.
- Proven experience leveraging AI tools and large language models (LLMs) to automate or enhance business processes.
- Experience supporting enterprise-wide technology or transformation initiatives.
- Proven ability to analyze and redesign processes to improve efficiency, accuracy, and scalability.
- Strong project management and organizational skills.
- Excellent communication, facilitation, and stakeholder management abilities.
- Ability to train and support employees with varying levels of technical proficiency.
- Strong analytical and problem-solving skills.
- Proficiency with Microsoft Office, collaboration tools, and AI productivity platforms.
Responsibilities
- Drive enterprise-wide adoption of AI tools and workflows across departments.
- Partner with business leaders to identify operational inefficiencies and opportunities for AI integration.
- Develop and implement AI-driven process improvements that enhance productivity and reduce manual work.
- Act as an internal consultant to business teams on AI use cases and workflow optimization.
- Help establish AI best practices and promote responsible AI usage.
- Collaborate with cross-functional departments to translate business needs into scalable AI solutions.
- Help manage organizational change related to AI implementation and workflow transformation.
- Build resources, documentation, and SOPs related to AI usage and processes.
- Lead the implementation and optimization of AI tools and platforms.
- Track and report on AI initiative outcomes, adoption metrics, productivity improvements, and operational impact.
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