Bilingual Lead Talent Acquisition Partner – AI & Advanced Research

atGE VernovaRemoteCA flagCanadaFull-timeRecruiterSeniorC$103.7k – C$129.6k/year

Posted 3 days ago

This is a fully remote position, open to applicants in Canada.

πŸ“‹ Description

β€’ Monitor talent trends in AI, Machine Learning, Robotics, Automation, and Advanced Research.

β€’ Establish enduring connections with academic, research, and industry communities.

β€’ Develop and execute a talent-search strategy for roles that are high-visibility and high-complexity.

β€’ Create and sustain a pipeline of specialized candidates utilizing diverse sourcing tools and methods.

β€’ Lead intricate offer negotiations that align with business requirements and market conditions.

β€’ Provide advice to senior leaders with market insights and recommendations regarding hiring needs, talent strategy, and compensation.

β€’ Mentor other recruiters and disseminate best practices throughout the recruiting team.

β€’ Ensure a fair, equitable, and welcoming candidate experience.

β€’ Represent the GE Vernova employer brand both internally and externally.

β€’ Employ Lean methods to maintain accurate and timely requisition data.

β€’ Oversee projects and assist peers in adopting new methodologies.


⛳️ Requirements

β€’ Proficient in both French and English (written and spoken).

β€’ Extensive recruiting experience, demonstrating a successful track record in sourcing, engaging, and securing highly specialized technical talent.

β€’ Proven years of recruiting experience focused on hiring experienced engineers, PhD-level talent, or emerging technology talent in fields such as AI, software, or robotics.

β€’ Practical experience with recruiting technology and analytics tools, including applicant tracking systems (ATS) like Workday, LinkedIn Recruiter, Talent Neuron, Tableau, and AI-enabled recruiting tools.

β€’ Advanced abilities in sourcing passive candidates, talent analytics, and market mapping.

β€’ Established capability to influence senior leaders, negotiate offers, and mentor fellow recruiters.

β€’ Preferred: Knowledge in the domains of AI/ML (Machine Learning), Robotics, Material Sciences, or Advanced Research.

β€’ Preferred: Experience in both corporate and agency recruiting settings.

β€’ Preferred: Familiarity with compensation benchmarks and market dynamics.

β€’ A bachelor's or master's degree in human resources, business, or a related field is advantageous, but we prioritize your overall experience and professional accomplishments.


🏝️ Benefits

β€’ 10% discretionary annual bonus.

β€’ Relocation Assistance Provided: No.

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