Strategic AP Transformation Lead

Strategic AP Transformation Lead

Temporary 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead finance transformation projects and enhance Procure-to-Pay processes.
  • Company: Reo Recruitment, a dynamic firm focused on innovative finance solutions.
  • Benefits: Competitive contract rate, hands-on experience, and exposure to senior leadership.
  • Other info: Join a multi-entity business with ambitious revenue goals.
  • Why this job: Drive impactful change in a high-profile finance transformation with growth potential.
  • Qualifications: Experience in finance transformation and strong stakeholder engagement skills.

The predicted salary is between 90000 - 110000 $ per year.

Reo Recruitment is seeking an experienced AP Transformation Lead to drive a high-profile finance transformation across a multi-entity business with a $1bn revenue ambition.

You will own end-to-end Procure-to-Pay improvements, focusing on automation and scalable operating models, reporting to senior finance leadership in Western Sydney.

This six-month contract offers hands-on change management, stakeholder engagement, and delivery of future-state AP processes.

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Strategic AP Transformation Lead employer: Reo Recruitment

Join a dynamic global organisation that values innovation and collaboration, offering a hybrid work environment in the vibrant city of Sydney. As a Financial Analyst, you'll have the opportunity to engage with senior stakeholders, enhance your financial acumen, and contribute to meaningful budgeting processes while enjoying a supportive culture that prioritises employee growth and development. With access to advanced tools and resources, this role not only promises professional advancement but also a rewarding work-life balance.

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Contact Details:

Reo Recruitment Recruitment Team

We think you need these skills to ace Strategic AP Transformation Lead

Procure-to-Pay Improvements
Automation
Change Management
Stakeholder Engagement
Process Delivery
Financial Transformation
Scalable Operating Models