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At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $178,200 - $237,600; Zone B: $160,400 - $213,800; Zone C: $147,900 - $197,200. This role may also be eligible for benefits, bonuses, commissions, and equity.
Job Responsibility:
Oversee the operation and maintenance of compensation platforms, ensuring they are running efficiently and effectively
Troubleshoot and resolve any issues related to compensation systems in a timely manner
Ensure the accuracy, consistency, and integrity of compensation data across all platforms
Develop and implement data management processes and best practices to maintain high data quality
Act as the primary point of contact for external vendors, managing relationships and contracts related to compensation tools and systems
Coordinate with vendors to ensure seamless integration and functionality of external platforms with internal systems
Work closely with internal data engineering teams to align on data architecture, integration, and any system enhancements required for compensation platforms
Collaborate with HR, finance, and other relevant teams to gather requirements and ensure compensation systems meet organizational needs
Lead or support the implementation of new compensation tools and systems, including requirement gathering, testing, and deployment
Identify opportunities to streamline and enhance compensation processes through automation and improved system capabilities
Recommend and implement improvements to current systems and tools to increase efficiency and reduce manual effort
Develop and maintain dashboards and reports to provide insights into compensation data and trends
Analyze compensation data to support decision-making and strategic planning
Ensure compliance with all relevant regulations and standards related to compensation data management
Work with IT and security teams to ensure data protection and system security measures are in place and effective
Create and maintain documentation for compensation systems, processes, and procedures
Provide training and support to users of the compensation platforms to ensure effective utilization
Manage projects related to compensation systems, including timelines, resources, and deliverables
Ensure projects are completed on time and within budget while meeting the defined objectives and requirements
Requirements:
Bachelor’s degree in Human Resources, Business Administration, or a related field
Proven experience (typically 6-8 years) in managing compensation platforms, data, tools, and systems
Strong proficiency in data management and analysis, including experience with SQL, Excel, or other data analysis tools
Familiarity with HRIS and compensation management systems (e.g., Workday, Pave)
Experience with data integration and working with APIs is a plus
Strong analytical and problem-solving skills with a keen attention to detail
Ability to interpret complex data and translate it into actionable insights
Experience managing projects, including planning, execution, and stakeholder communication
Ability to handle multiple projects and prioritize tasks effectively
Excellent verbal and written communication skills
Proven ability to work collaboratively with cross-functional teams and external vendors
Experience in process optimization and automation to improve efficiency and effectiveness
Understanding of data privacy regulations and best practices related to compensation data management
Experience in ensuring compliance with relevant laws and organizational policies
Strong interpersonal skills with the ability to influence and build relationships at all levels of the organization
Customer-oriented mindset with a focus on delivering high-quality support and service
Nice to have:
Experience with data integration and working with APIs
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