EY Early Careers Services Supervising Associate - EY Global Delivery 

Argentina, Autonomous City of Buenos Aires, Buenos Aires 

662049671

Your key responsibilities

• Provide coaching and performance management for local team of 36 Recruiting Coordinators who work in support of US Early Careers Recruiting efforts by collaborating with US team on how the RC is performing, etc.
• Collaborate with peers (team of 3 total) on overall RC performance and best practices to leverage across the group, or group trainings needed, etc.
• Serve as Counselor in EY performance management tool (LEAD) and process
• Handle personal requests time off, approvals, etc.
• Elevate themes for learning support needed to local Talent Team and US TA2 Experiences Team
• Elevate performance recognition or concerns
• Provide US Early Careers compliance support
• Perform Fair Employment Practices Compliance (FEPC) requisition audits
• Address incomplete applicant data including missing skills assessments
• Review and manage mismatched candidate applications
• Manage candidate assessments including initiation and result uploading
• Support operational or project-oriented tasks on behalf of US Early Careers recruiting such as referrals, job postings, EY job boards/career center boards, acquisition initiatives

To qualify for the role, you must have

• Minimum of 5 plus years of experience in recruiting and/or sourcing in professional/financial services, corporate and/or agency environment preferred
• Team supervision experience
• Strategic-thinking skills and ability to collaborate with team members on best practices.
• Proficiency in MS Office (Word, Excel, and PowerPoint) and knowledge
• Proficiency in working with applicant tracking software or recruiting databases/systems
• Experience with AI-driven tools and platforms
• Experience in working with North American talent markets in a professional services environment
• Ability to work effectively in a fast-paced environment with numerous projects happening simultaneously
• Strong reporting and data analytical skills
• Bachelor’s degree or equivalent experience preferred
• Fluency in English, verbally and written