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Job Function:
Human ResourcesJob Sub Function:
Employee & Labor RelationsJob Category:
ProfessionalAll Job Posting Locations:
Taguig, National Capital Region (Manila), PhilippinesJob Description:
We are seeking a strategic, detail-oriented, and highly collaborative professional to join our global team in Manila, Philippines as Global Content Lead ERLR & Offboarding for a limited amount of time.
In this project based role, you will lead the global ERLR (Employee Relations & Labor Relations) content strategy and operating model across employee-facing and ERLR knowledge assets and you will report into the Global Experience team of ERLR.
You will shape a scalable framework for content governance, ownership, and lifecycle management while partnering closely with regional and local ERLR leads, the ServiceNow content team, and other cross-functional stakeholders to ensure content is accurate, in scope, globally aligned, and optimized for AI-enabled experiences, including Copilot.
This role is critical to improving content quality, consistency, findability, and long-term sustainability across regions.
You will help create a content ecosystem that supports a clear employee experience, strong governance, and responsible adoption of AI, while ensuring local requirements are appropriately reflected within a globally coherent model.
Key Responsibilities:
Qualifications:
Preferred:
Required Skills:
Preferred Skills:
Analytics Insights, Business Behavior, Coaching, Communication, Conflict Resolution, Consulting, Critical Thinking, Document Management, Emotional Intelligence, Employee Health, Employee Relations, HR Strategic Management, Human Resources Consulting, Investigative Interviewing, Issue Escalation, Labor and Employment Law, People Performance Management, Problem Solving, Social Awareness, Talent ManagementDiscover exciting opportunities in sports technology. Join innovative companies transforming the sports industry through data, media, and cutting-edge tech.
Salary: $85000-120000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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