Director of Applied Accounting Technology
New
J
JobgetherAccounting Technology
Based in United StatesFull-TimeDirector
Salary$145,000–$185,000, based on experience.
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Job Details
- Experience
- 7+ years of progressive accounting experience, including at least 2 years in a supervisory or leadership capacity.
- Required Skills
- Project ManagementMicrosoft ExcelAccountingNetSuiteGenerative AI
Requirements
- 7+ years of progressive accounting experience, including at least 2 years in a supervisory or leadership capacity.
- 5+ years of experience across accounting, finance operations, consulting, or systems implementation.
- Strong understanding of GAAP, accounting operations, and modern finance technology stacks.
- Advanced Excel skills.
- Hands-on experience with platforms such as QuickBooks Online, Xero, NetSuite, Campfire, Brex, Ramp, Rippling, Gusto, Rillet, or Puzzle.
- Proven ability to translate AI and automation capabilities into practical, business-focused workflow applications.
- Experience leading technology, systems, workflow automation, or AI-enabled implementations.
- Familiarity with generative AI tools and automation platforms.
- Strong quality-control, data-validation, documentation, and process-design capabilities.
- Excellent project management and organizational skills.
- Willingness to travel approximately 2–3 weeks per year for company events and attend in-person onboarding training within the first three months.
Responsibilities
- Lead accounting engagements for a focused client portfolio, including monthly financial statements, budget-versus-actual analysis, forecasting, financial modeling, cash management, and accounting operations.
- Oversee accounts receivable and accounts payable activities, including invoicing, collections, contract review, payment processing, and policy compliance.
- Support payroll, employee onboarding and offboarding, tax compliance, accounting policies, and other core finance processes.
- Serve as the primary owner for AI implementation and workflow automation initiatives, from identifying opportunities through deployment, adoption, and optimization.
- Lead cross-functional discovery sessions to identify operational pain points, prioritize AI use cases, define project scope, and establish measurable outcomes.
- Design AI-powered knowledge systems, including searchable internal resources, structured prompt libraries, templates, and workflow tools.
- Establish quality assurance, validation, governance, security, confidentiality, and compliance standards for AI-generated outputs.
- Establish performance metrics and reporting for AI initiatives to track efficiency, ROI, and business impact.
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