AI (Artificial Intelligence) Integration Specialist

Role Summary:

Mammoth is a leading cannabis manufacturing and distribution company based in California. With our rapid growth, we are seeking an AI Integration Specialist to lead the strategic implementation of AI technologies across all departments, including Operations, Product Development, Marketing, Sales, Finance, HR, and Compliance. This role will drive innovation by identifying and deploying AI solutions to enhance business processes, improve customer experiences, and boost operational efficiency. The ideal candidate will combine technical expertise with change management skills to foster AI adoption, ensuring our company remains a leader in the dynamic cannabis industry.

Core Behaviors that Spell Success:

• Demonstrates a curious mindset, embracing innovative thinking and enthusiasm for exploring new AI-driven solutions to enhance business outcomes.
• Builds strong cross-departmental relationships, fostering collaboration across Operations, Product Development, Marketing, Sales, Finance, HR, and Compliance to drive AI adoption.
• Exhibits empathy and change management expertise, effectively addressing resistance while guiding teams through AI-driven transformations with patience and understanding.
• Communicates complex technical concepts clearly and persuasively to diverse stakeholders, ensuring alignment and buy-in across all levels of the organization.
• Combines technical savviness with a team-oriented approach, actively listening to colleagues' needs and aligning AI solutions with business objectives.
• Embodies a growth mindset, continuously seeking opportunities to learn about emerging AI technologies and their applications across industries.
• Maintains reliability and responsiveness, ensuring timely delivery of AI integration projects and ongoing support for stakeholders.
• Champions a culture of innovation, accountability, and collaboration, aligning AI initiatives with organizational values and goals.

Key Deliverables:

• Assess and identify opportunities for AI integration across all departments, including Operations, Product Development, Marketing, Sales, Finance, HR, and Compliance, to optimize processes and drive strategic outcomes.
• Collaborate with department leaders to design and implement tailored AI solutions that address specific business needs, such as predictive analytics for sales, automation for operations, or compliance monitoring tools.
• Develop and execute change management strategies to support AI adoption, including training programs, stakeholder engagement plans, and communication strategies to minimize resistance and maximize buy-in.
• Serve as the primary point of contact for AI-related initiatives, providing technical guidance and fostering cross-functional collaboration to ensure seamless integration.
• Monitor and evaluate the performance of AI tools and systems, analyzing data to measure impact, identify areas for improvement, and provide actionable insights to stakeholders.
• Partner with IT and data teams to ensure AI solutions are compatible with existing systems, secure, and scalable to meet future business needs.
• Actively promote AI literacy across the organization by developing resources, conducting workshops, and sharing best practices to empower teams to leverage AI effectively.
• Provide regular updates and reports to leadership on AI integration progress, including metrics on efficiency gains, cost savings, and business impact.
• Stay informed on emerging AI trends and technologies, recommending innovative tools and approaches to keep the organization at the forefront of industry advancements.
• Support colleagues in troubleshooting AI-related challenges, offering solutions and guidance to ensure smooth implementation and operation of AI systems.

Key Indicators of Success:

• AI Adoption Rate: Measured by the percentage of departments successfully integrating AI solutions within the first 12 months, with a target of 80% adoption across Operations, Product Development, Marketing, Sales, Finance, HR, and Compliance.
• Business Impact: Quantified by measurable improvements in key metrics, such as a 20% increase in operational efficiency, 15% reduction in compliance errors, or 10% growth in sales conversions, within the first year of AI implementation.
• Stakeholder Satisfaction: Assessed through 360-degree feedback from cross-departmental stakeholders, with a target of 85% positive feedback on collaboration, communication, and solution effectiveness.
• Change Management Success: Measured by a 75% or higher employee adoption rate of AI tools, as indicated by usage metrics and employee feedback surveys within six months of rollout.
• Project Delivery: Achieve on-time completion of 90% of AI integration projects, as measured by project milestones and deadlines met.
• Innovation Contribution: Propose and implement at least three new AI-driven initiatives annually that result in measurable business improvements, as validated by leadership reviews.

Knowledge/Experience:

• Proven experience in AI integration or related fields, with a strong understanding of AI applications in business contexts (e.g., machine learning, natural language processing, predictive analytics).
• Technical Prowess: Proficiency with leading AI tools and platforms, coupled with a passion for staying current with rapid advancements and emerging trends in the AI landscape.
• Strong knowledge of business processes across multiple departments, including Operations, Product Development, Marketing, Sales, Finance, HR, and Compliance.
• Excellent communication skills, with the ability to translate technical concepts into accessible language for non-technical stakeholders.
• Experience working in cross-functional teams, with a track record of fostering collaboration and driving consensus.

Education:

• Bachelor's degree in Computer Science, Data Science, Business Administration, or a related field is a plus.
• Alternatively, candidates should demonstrate equivalent practical experience through a strong portfolio of tangible AI-driven projects. Advanced degrees or relevant certifications in AI, machine learning, or change management are highly valued.