axon

Controllership AI & Automation Transformation Lead

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At a Glance

Location
Denver, Colorado, United States
Experience
6+ years
Posted
2026-03-12T14:35:47-04:00

Key Requirements

Required Skills

CRMPythonSQLSalesforce

Certifications

  • CPA

Domain Knowledge

  • Accounting
  • Automation
  • Finance

Requirements

6+ years experience delivering measurable business results through data analytics, automation, and/or process transformation in Finance, Accounting, RevOps, or adjacent functions.

Strong analytical skills (e.g., Python, SQL preferred) and experience using business intelligence tools (e.g., Alteryx, Power Query).

Experience using AI tooling (e.g., Cursor, Claude, ChatGPT) to generate solutions to solve Accounting/Finance related problems.

Strong knowledge of data governance.

Working knowledge of accounting processes (Order-to-Cash, Procure-to-Pay, Record-to-Report) and the ability to partner effectively with Controllership stakeholders across those domains; quickly understand current state and pain points, and translate them into clear business requirements and solution options; experience supporting Revenue Accounting (ASC 606) strongly preferred.

Sound judgment around governance, risk, and controls when introducing automation/AI.

Compensation & Benefits

Competitive salary and 401k with employer match

Discretionary paid time off

Paid parental leave for all

Medical, Dental, Vision plans

Fitness Programs

Emotional & Mental Wellness support

Responsibilities

As our Controllership AI & Automation Transformation Lead, you will lead and deliver targeted AI, analytics, and automation initiatives that improve speed, quality, and scalability of Controllership processes.

You will own discrete projects/workstreams end-to-end, partner closely with Accounting, IT/Engineering, and Internal Audit, and deliver measurable results.

This will involve leading meetings with process owners, understanding current state and pain points, defining business requirements, building solutions and using AI and automation tools to develop solutions.

The outcome will involve working with IT/data teams, enabling the process owner to learn and build solutions themselves and/or you being hands on building solutions yourself.