Story Cannabis - AI Transformation & Operational Efficiency Manager
Requirements
• 7+ years of experience in project management, business transformation, enterprise technology, AI implementation, operational improvement, or related consulting. • Proven ability to lead complex, cross-functional projects from initial assessment through implementation and measurable results. • Strong working knowledge of generative AI, large language models, workflow automation, and practical business applications of AI. • Experience mapping business processes, identifying improvement opportunities, developing implementation plans, and measuring ROI. • Demonstrated success selecting and managing external vendors, consultants, and implementation partners, including oversight of budgets, timelines, and deliverables. • Working knowledge of Accounting and Finance operations, including financial workflows, reporting, controls, and systems. • Excellent communication, stakeholder management, and organizational skills, with the ability to translate business needs into actionable plans. • A practical, execution-oriented mindset and the ability to manage multiple initiatives across business units. • Bachelor's degree or equivalent practical experience. • Experience implementing AI or automation solutions across multiple business functions. • Familiarity with platforms such as OpenAI, Microsoft Copilot, Power Automate, UiPath, cloud AI services, or enterprise data platforms. • Experience with ERP systems, financial automation, or reporting tools. • Background in management consulting, operational transformation, or technology implementation. • MBA, advanced technical degree, or relevant project management certification. • What Success Looks Like: • An actionable AI roadmap with clear priorities and measurable business outcomes. • Successful implementation of high-impact solutions, beginning with Accounting and Finance and expanding across other business units. • Demonstrable improvements in productivity, efficiency, accuracy, and operating costs. • Effective vendor partnerships and strong adoption of implemented solutions across the organization.
Responsibilities
• Assess Processes and Identify Opportunities • Partner with leaders across Accounting, Finance, HR, Legal, IT, Sales, Marketing, Operations, and other functions to understand workflows and identify opportunities for AI and automation. • Evaluate opportunities based on business impact, cost savings, efficiency gains, implementation complexity, and return on investment. • Develop business cases and prioritize initiatives based on company needs and expected results. • Lead AI Implementation and Project Execution • Develop and manage an enterprise AI roadmap aligned with Story's Default-to-AI strategy. • Translate opportunities into executable project plans with defined scope, timelines, budgets, milestones, and success metrics. • Lead initiatives from discovery and solution selection through implementation, adoption, and continuous improvement. • Coordinate cross-functional teams, manage competing priorities, and ensure projects stay on track and deliver measurable results. • Drive Accounting and Finance Transformation • Work closely with Accounting and Finance leaders to identify opportunities to automate and improve processes such as accounts payable and receivable, reconciliations, financial reporting, expense management, budgeting, and forecasting. • Partner with internal subject matter experts to define requirements and ensure solutions meet business needs, maintain accuracy, and support appropriate financial controls. • Identify and implement solutions that reduce manual work, improve reporting, and increase operational efficiency. • Manage Vendors and Implementation Partners • Evaluate AI tools, software providers, consultants, and implementation partners to determine the best solutions for each business need. • Lead vendor selection, define scopes of work, manage budgets and timelines, and hold partners accountable for deliverables. • Oversee integrations with existing systems in partnership with IT and internal stakeholders, bringing in specialized expertise when needed. • Drive Adoption and Responsible AI Use • Establish practical guidelines for data security, confidentiality, human oversight, and regulatory compliance in partnership with IT, Legal, and Compliance. • Support employee adoption through training, change management, and process redesign. • Track and report measurable outcomes, including productivity improvements, cost savings, accuracy, and return on investment.
Benefits
• Paid time off (PTO) including 8 paid holidays per year* • Medical, Dental, and Vision Insurance* • 401k retirement savings plan* • Company paid Short-Term & Long-Term disability* • Company paid Life Insurance* • Employee Assistance Program (EAP)* • Employee referral program • Commuter benefits* • Product discounts • Additional compensation incentives (tips, bonuses, etc.)
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