Accounting & Finance AI Automation Manager
New
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Story CannabisCannabis
Remote - United StatesFull-TimeManager
Salary$130,000 — $150,000 USD
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Job Details
- Experience
- 3+ years
- Required Skills
- Artificial IntelligenceMachine LearningData StructuresMicrosoft ExcelAccountingData visualizationFinance
Requirements
- Bachelor’s degree in Accounting, Finance, Information Systems, AI, Machine Learning, or Data Science.
- 3+ years of progressive experience in accounting, finance, or financial systems, with exposure to process improvement or automation initiatives.
- Experience leveraging AI tools and large language models (LLMs) to automate or enhance accounting and finance processes.
- Experience working with ERP systems and integrating data across multiple platforms.
- Strong understanding of data structures, data quality, and system integrations across finance and operational systems.
- Proven ability to analyze and redesign processes to improve efficiency, accuracy, and scalability.
- Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
- Strong Excel skills and experience with data visualization tools.
Responsibilities
- Architect and deploy AI-enabled workflows across Accounting, Finance, and operational functions to materially reduce manual effort, improve accuracy, and accelerate time-to-close.
- Automate reconciliations, journal entries, accrual calculations, and close processes to create a more efficient and scalable monthly and quarterly close.
- Integrate AI across financial and operational systems (ERP, POS, inventory, FP&A tools, data warehouses) to improve data integrity, consistency, and real-time visibility.
- Design intelligent workflows that transform finance from a periodic reporting function into a continuous, real-time operating platform.
- Own and maintain existing AI and automation workflows ensuring ongoing reliability, performance, and audit readiness.
- Monitor AI workflow performance and proactively identify opportunities to improve accuracy, speed, and scalability.
- Lead AI initiatives from concept through pilot, testing, deployment, and enterprise-scale rollout.
- Define project roadmaps, milestones, and measurable ROI targets tied to efficiency gains, cost reduction, and improved financial insight.
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