AI Workflow Innovation Lead: Senior Accounting Manager/Controller
New
A
Attivo PartnersAccounting & Finance
Fully remote roleFull-TimeManager
Salary145,000 - 185,000 Salary Based on Experience plus target bonus 10% target bonus
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years of progressive accounting experience with at least 2 years in a supervisory role; 5+ years of experience in accounting, finance operations, consulting, or systems implementation.
- Required Skills
- Project ManagementMicrosoft ExcelNetSuiteGenerative AI
Requirements
- 7+ years of progressive accounting experience with at least 2 years in a supervisory role.
- 5+ years of experience in accounting, finance operations, consulting, or systems implementation.
- Solid understanding of GAAP; CPA designation is preferred.
- Advanced proficiency in Excel.
- Experience with standard accounting and finance software solutions (e.g., QuickBooks Online, Xero, NetSuite, Campfire, Brex, Ramp, Rippling, Gusto, Rillet, Puzzle).
- Experience implementing workflow automation or AI-enabled tools.
- Demonstrated success managing full-cycle technology implementations from discovery through deployment.
- Strong ability to translate AI capabilities into practical, scalable workflow applications.
- Exceptional organizational and documentation skills with experience building SOPs.
- Ability to manage ambiguity and solve complex operational challenges in an evolving AI landscape.
Responsibilities
- Produce monthly financial statements, budget vs. actual analysis, and assist with financial modeling and forecasting.
- Manage core accounting functions including Accounts Payable, Accounts Receivable, payroll, onboarding, and cash management.
- Lead AI implementation projects from strategy through deployment to address operational pain points.
- Design and implement an internal AI-powered chat and knowledge interface using internal documentation and SOPs.
- Build and maintain repeatable AI-enabled workflows and automation templates for internal and client-facing use.
- Establish QA frameworks, governance standards, and security protocols for AI outputs.
- Use assigned client portfolio as anchor pilots to measure ROI and operational impact of new workflows.
- Develop internal AI implementation playbooks and scalable SOPs for team-wide adoption.
View Full Description & ApplyYou'll be redirected to the employer's site