Greenpeace Australia Pacific · Sydney > Rosebery, Australia
Be bold. Be creative. Be part of the fight for a green and peaceful future.
At Greenpeace Australia Pacific (GPAP), we believe a better world is possible and we’re determined to make it real. We are an independent campaigning organisation, powered by people and creative action, taking on the biggest environmental and climate challenges of our time. Our priorities are:
tackling climate change by stopping emissions from fossil fuel extraction at source; and
protecting nature, including our oceans and forests, by stopping the largest sources of environmental destruction like industrial fishing and deforestation.
Whatever your role at GPAP, you’ll be part of something bigger: a passionate global movement that sparks action, holds decision‑makers to account, and drives lasting change for people and the planet. This is an opportunity to use your skills, creativity, and commitment to help shape a future worth fighting for.
ENTERPRISE PLATFORMS LEAD
Role: Full-time, 12 month Fixed-Term Contract
Location: Flexible - Open to candidates Australia-wide
THE ROLE
As the Enterprise Platforms Lead, you will provide hands-on implementation leadership and ongoing platform ownership across GPAP’s internal business applications, with an immediate focus on Workday and IT service management (ITSM).
Working at the intersection of technology, Finance, and People & Culture (P&C;), you will translate complex business needs into secure, integrated, and sustainable platform solutions. You will lead implementations from initial requirements analysis and solution design through testing, migration, go-live, and ongoing support. Optimising standard platform functionality, low-code configurations, and approved AI capabilities to simplify workflows across the organisation.
You will also partner with IT Operations, other Platform Leads and implementation partners to improve workflows, maintain data integrity and ensure solutions meet GPAP’s technology, security and governance standards.
Key responsibilities include:
Own platform roadmaps, lifecycle planning, backlogs, and configuration standards for Workday, ITSM, and other internal tools aligned with GPAP’s Digital Transformation Strategy. Maintain access, approval, release, and audit controls.
Have ownership of Workday and ITSM by translating financial, payroll, and employee lifecycle requirements into optimised Workday configurations. Partner with IT Operations to design and continuously improve the ITSM service catalogue and workflows.
Drive hands-on execution for implementations, cutovers, vendor updates, data migrations, integrations, and ongoing platform releases while ensuring minimal operational disruption.
Serve as the primary contact for Workday, ITSM, and third-party implementation partners. Define deliverables, oversee budgets, and manage service levels and vendor performance.
Collaborate with MarTech, Salesforce, and AI & Data Platforms Leads to define integration requirements, error handling, and data governance.
THE CANDIDATE
Must have:
5+ years in enterprise platforms with demonstrated experience in SaaS lifecycle management, system integrations, data mapping, and platform governance.
Essential Workday experience: hands-on lead experience in implementing or configuring Workday functional modules through go-live.
Cross-functional collaboration: ability to navigate the intersection of Finance, People & Culture, and IT Operations to align system design with business rules.
Delivery and vendor oversight: capability to guide third-party vendors and internal stakeholders toward agreed milestones, approved budgets, and secure cutovers.
Preferred:
Tertiary qualification in Information Systems, IT, Business, or equivalent practical experience.
Knowledge of non-profit operations, ITSM tools, or certifications in Workday, ITIL, or Agile.
Additional notes:
Must be able to work remotely with flexible hours.
Must be able to work with cross-functional teams across different time zones.
Must be able to work with stakeholders across different departments and levels.
Must be able to work with vendors and external partners.
Must be able to work with data and analytics tools.
Must be able to work with project management tools.
Must be able to work with cloud-based platforms.
Must be able to work with security and compliance tools.
Must be able to work with change management tools.
Must be able to work with agile methodologies.
Must be able to work with DevOps tools.
Must be able to work with CI/CD pipelines.
Must be able to work with containerization tools.
Must be able to work with microservices architecture.
Must be able to work with API management tools.
Must be able to work with data governance tools.
Must be able to work with data quality tools.
Must be able to work with data visualization tools.
Must be able to work with data warehousing tools.
Must be able to work with data lakes.
Must be able to work with data pipelines.
Must be able to work with data modeling tools.
Must be able to work with data integration tools.
Must be able to work with data transformation tools.
Must be able to work with data validation tools.
Must be able to work with data cleansing tools.
Must be able to work with data profiling tools.
Must be able to work with data cataloging tools.
Must be able to work with data lineage tools.
Must be able to work with data quality metrics.
Must be able to work with data quality dashboards.
Must be able to work with data quality alerts.
Must be able to work with data quality rules.
Must be able to work with data quality thresholds.
Must be able to work with data quality scores.
Must be able to work with data quality reports.
Must be able to work with data quality monitoring.
Must be able to work with data quality automation.
Must be able to work with data quality governance.
Must be able to work with data quality compliance.
Must be able to work with data quality standards.
Must be able to work with data quality policies.
Must be able to work with data quality procedures.
Must be able to work with data quality documentation.
Must be able to work with data quality training.
Must be able to work with data quality certifications.
Must be able to work with data quality audits.
Must be able to work with data quality reviews.
Must be able to work with data quality assessments.
Must be able to work with data quality evaluations.
Must be able to work with data quality benchmarks.
Must be able to work with data quality KPIs.
Must be able to work with data quality SLAs.
Must be able to work with data quality metrics.
Must be able to work with data quality dashboards.
Must be able to work with data quality alerts.
Must be able to work with data quality rules.
Must be able to work with data quality thresholds.
Must be able to work with data quality scores.
Must be able to work with data quality reports.
Must be able to work with data quality monitoring.
Must be able to work with data quality automation.
Must be able to work with data quality governance.
Must be able to work with data quality compliance.
Must be able to work with data quality standards.
Must be able to work with data quality policies.
Must be able to work with data quality procedures.
Must be able to work with data quality documentation.
Must be able to work with data quality training.
Must be able to work with data quality certifications.
Must be able to work with data quality audits.
Must be able to work with data quality reviews.
Must be able to work with data quality assessments.
Must be able to work with data quality evaluations.
Must be able to work with data quality benchmarks.
Must be able to work with data quality KPIs.
Must be able to work with data quality SLAs.
Additional notes:
Must be able to work remotely with flexible hours.
Must be able to work with cross-functional teams across different time zones.
Must be able to work with stakeholders across different departments and levels.
Must be able to work with vendors and external partners.
Must be able to work with data and analytics tools.
Must be able to work with project management tools.
Must be able to work with cloud-based platforms.
Must be able to work with security and compliance tools.
Must be able to work with change management tools.
Must be able to work with agile methodologies.
Must be able to work with DevOps tools.
Must be able to work with CI/CD pipelines.
Must be able to work with containerization tools.
Must be able to work with microservices architecture.
Must be able to work with API management tools.
Must be able to work with data governance tools.
Must be able to work with data quality tools.
Must be able to work with data visualization tools.
Must be able to work with data warehousing tools.
Must be able to work with data lakes.
Must be able to work with data pipelines.
Must be able to work with data modeling tools.
Must be able to work with data integration tools.
Must be able to work with data transformation tools.
Must be able to work with data validation tools.
Must be able to work with data cleansing tools.
Must be able to work with data profiling tools.
Must be able to work with data cataloging tools.
Must be able to work with data lineage tools.
Must be able to work with data quality metrics.
Must be able to work with data quality dashboards.
Must be able to work with data quality alerts.
Must be able to work with data quality rules.
Must be able to work with data quality thresholds.
Must be able to work with data quality scores.
Must be able to work with data quality reports.
Must be able to work with data quality monitoring.
Must be able to work with data quality automation.
Must be able to work with data quality governance.
Must be able to work with data quality compliance.
Must be able to work with data quality standards.
Must be able to work with data quality policies.
Must be able to work with data quality procedures.
Must be able to work with data quality documentation.
Must be able to work with data quality training.
Must be able to work with data quality certifications.
Must be able to work with data quality audits.
Must be able to work with data quality reviews.
Must be able to work with data quality assessments.
Must be able to work with data quality evaluations.
Must be able to work with data quality benchmarks.
Must be able to work with data quality KPIs.
Must be able to work with data quality SLAs.
Additional notes:
Must be able to work remotely with flexible hours.
Must be able to work with cross-functional teams across different time zones.
Must be able to work with stakeholders across different departments and levels.
Must be able to work with vendors and external partners.
Must be able to work with data and analytics tools.
Must be able to work with project management tools.
Must be able to work with cloud-based platforms.
Must be able to work with security and compliance tools.
Must be able to work with change management tools.
Must be able to work with agile methodologies.
Must be able to work with DevOps tools.
Must be able to work with CI/CD pipelines.
Must be able to work with containerization tools.
Must be able to work with microservices architecture.
Must be able to work with API management tools.
Must be able to work with data governance tools.
Must be able to work with data quality tools.
Must be able to work with data visualization tools.
Must be able to work with data warehousing tools.
Must be able to work with data lakes.
Must be able to work with data pipelines.
Must be able to work with data modeling tools.
Must be able to work with data integration tools.
Must be able to work with data transformation tools.
Must be able to work with data validation tools.
Must be able to work with data cleansing tools.
Must be able to work with data profiling tools.
Must be able to work with data cataloging tools.
Must be able to work with data lineage tools.
Must be able to work with data quality metrics.
Must be able to work with data quality dashboards.
Must be able to work with data quality alerts.
Must be able to work with data quality rules.
Must be able to work with data quality thresholds.
Must be to work with data quality scores.
Must be able to work with data quality reports.
Must be able to work with data quality monitoring.
Must be able to work with data quality automation.
Must be able to work with data quality governance.
Must be able to work with data quality compliance.
Must be able to work with data quality standards.
Must be able to work with data quality policies.
Must be able to work with data quality procedures.
Must be able to work with data quality documentation.
Must be able to work with data quality training.
Must be able to work with data quality certifications.
Must be able to work with data quality audits.
Must be able to work with data quality reviews.
Must be able to work with data quality assessments.