Full-Time Finance AI Acceleration Principal

Cyberark is hiring a remote Full-Time Finance AI Acceleration Principal. The career level for this job opening is Senior Manager and is accepting Newton, MA based applicants remotely. Read complete job description before applying.

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Cyberark

Job Title

Finance AI Acceleration Principal

Posted

Career Level

Full-Time

Career Level

Senior Manager

Locations Accepted

Newton, MA

Salary

YEAR $126000 - $185000

Job Details

CyberArk is seeking a Finance AI Acceleration Principal to lead the transformation of its finance function through AI, automation, and data.

This role combines deep finance expertise, strategic design thinking, and business acumen to scale intelligent solutions that drive enterprise goals.

You’ll serve as a key partner across all levels of the finance team and broader organization—including senior leaders, SMEs, and stakeholders in Revenue Operations, IT, HR, Legal, and Operations—while gaining exposure to the Finance Leadership Team and CyberArk’s company-wide transformation.

Key Responsibilities:

  • Develop a deep understanding of CyberArk’s finance operating contexts, goals, and strategies.
  • Partner with senior leaders and cross-functional teams (AI transformation, IT, HR, legal, and operations) to shape and execute the AI, automation, and data transformation of finance as part of CyberArk’s broader transformation.
  • Infuse external best practices and methodologies for adopting AI/automation/data into the finance function, adapting them with a "what’s best for CyberArk" approach.
  • Drive widespread adoption of AI and automation within the finance function, leading ongoing user engagement and enablement.
  • Conduct analyses, develop insights/recommendations, and action plans.
  • Establish operating rhythm to guide AI roadmap, success metrics, and tracking.
  • Maintain strong focus on implementation and change management to ensure strategies are successfully translated into execution.
  • Identify initiative dependencies and risks, and develop mitigation plans.

Qualifications:

  • Bachelor’s Degree and/or 10+ years of professional experience
  • Experience in business process mapping and redesign of the focus business function, with a strong focus on pragmatic integration of AI/automation/data
  • Experience and credibility in working with operational leaders to introduce new capabilities, increasing the efficiency and effectiveness of finance colleagues
  • Knowledgeable in the ‘art-of-the-possible’ for AI/automation/data with a pragmatic understanding of the technologies’ risks and shortcomings, specifically as it relates to finance processes, operations, and workflows.
  • Skilled in strategic program/project management
  • Ability to build relationships and inspire/influence/motivate/coach colleagues at all levels
  • Experience with change management frameworks and internal communications
  • Experience working with and translating between deeply technical and non-technical teams
  • Ability to multi-task and work in a dynamic, fast-changing entrepreneurial environment
  • Smart, Bold, and humble

CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

We are unable to sponsor or take over sponsorship of employment Visa at this time.

Salary: $126,000 - $185,000/year, plus commissions or discretionary bonus. Base pay may vary considerably based on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.

Possible Employment Type: Full-time

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Finance AI Acceleration Principal at Cyberark is 18th of July 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ Newton, MA ] applicants. .

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