AI-Driven Accounting & Finance Automation Manager

Story Cannabis

United States

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Story Cannabis, headquartered in Phoenix, is seeking an Accounting & Finance AI Automation Manager to design and implement AI-driven systems across finance and adjacent functions. You will work with Finance and IT leadership to automate reconciliations, close processes, and data integration, delivering real-time dashboards and scalable workflows.

The role focuses on reducing manual effort, improving data integrity, and accelerating the monthly/quarterly close while driving ROI across multiple

Qualifications

  • Bachelor’s degree in Accounting, Finance, Information Systems, AI, Machine Learning, or Data Science required.
  • 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.
  • Experience building or supporting automated reconciliations, close processes, or financial workflows preferred.
  • Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
  • Excellent communication skills with the ability to partner cross-functionally across Finance, IT, and Operations.
  • Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.
  • 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.
  • Continuously improve automated processes supporting AP accruals, prepaids, fixed assets, lease accounting, intercompany, and other complex accounting areas.
  • Monitor AI workflow performance and proactively identify opportunities to improve accuracy, speed, and scalability.
  • Establish standardized automation frameworks that can be deployed consistently across multiple business units and entities.
  • 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.
  • Identify and implement repeatable automation patterns that can scale across multiple workflows and systems.
  • Drive a culture of continuous improvement aligned with a Default-to-AI operating philosophy.

Skills

AI tools
LLMs
Automation
Data analysis
Excel
Cross-functional
Communication
ERP integrations
Process improvement
Financial workflows

Education

Accounting
Finance
Information Systems
AI
Machine Learning
Data Science

Tools

ERP systems
Data visualization tools

Job description

Story Cannabis, headquartered in Phoenix, is seeking an Accounting & Finance AI Automation Manager to design and implement AI-driven systems across finance and adjacent functions. You will work with Finance and IT leadership to automate reconciliations, close processes, and data integration, delivering real-time dashboards and scalable workflows.

The role focuses on reducing manual effort, improving data integrity, and accelerating the monthly/quarterly close while driving ROI across multiple

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