Job Openings Senior Functional Consultant - Oracle Cloud Payroll

About the job Senior Functional Consultant - Oracle Cloud Payroll

ABOUT DYSRUPIT

DysrupIT is a leading Australia based cloud services company. We support clients across the globe in their adoption of the cloud and their transformation to as-a-Service business models. DysrupIT is dedicated to making a positive impact in the communities it serves.

COMPANY CULTURE

We are constantly looking for talented people to join our team. We offer a unique and extraordinary career experience to motivate and inspire talents like you to make a difference in our customers, clients, and the entire organization. At DysrupIT, you'll join a team of dedicated and brilliant professionals who shares the same of goal of pursuing integrity and excellence. We are committed to promoting a culture where employees are valued and respected. We invest in our employees and make sure that they will have the right training to secure their growth and advancement towards their career aspirations.

JOB RESPONSIBILITIES:

Lead the implementation of Oracle Cloud Payroll (North America) and Time and Labor modules.

Configure payroll rules, earnings, deductions, and tax calculations for the US and Canada.

Support compliance with regional payroll laws and regulations.

Integrate Payroll with Time and Labor, HR, and Finance modules.

Conduct payroll testing and troubleshoot post-go-live issues.

JOB QUALIFICATIONS:

5-9 years of experience in Oracle Cloud Payroll and Time and Labor.

At least 2 full-cycle implementations of Oracle Payroll (North America).

Strong understanding of US and Canadian payroll regulations.

Excellent communication skills and ability to work with payroll teams.

SOFT SKILLS:

Excellent verbal and written communication skills

Excellent interpersonal and conflict resolution skills.

Strong analytical and problem-solving skills.

Adaptable and flexible

Organized and keen to details.

Can work well within a team.

Has the initiative and self-drive

Able to work independently and under minimal supervision.