Lead Talent Acquisition Partner – AI and Advanced Research

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

📋 Description

• Monitor talent trends in the fields of AI, Machine Learning, Robotics, Automation, and Advanced Research.

• Cultivate enduring relationships with academic, research, and industry sectors.

• Develop and implement talent-sourcing strategies for high-visibility and complex roles.

• Establish and sustain a robust pipeline of specialized candidates utilizing a variety of sourcing tools and techniques.

• Manage intricate offer negotiations that align with business requirements and market conditions.

• Provide market insights and recommendations to senior leadership regarding hiring needs, talent strategy, and compensation.

• Assist leaders in making informed hiring decisions.

• Mentor fellow recruiters and share best practices throughout the recruiting team.

• Ensure a fair, equitable, and welcoming experience for candidates.

• Represent the GE Vernova employer brand both internally and externally.

• Apply Lean methodologies to maintain accurate and current requisition data.

• Lead projects and support colleagues in adopting innovative work practices.

⛳️ Requirements

• Bilingual proficiency in French and English, in both written and spoken forms.

• Extensive experience in recruiting, demonstrating a successful history of sourcing, engaging, and securing highly specialized technical talent.

• Several years of experience in recruiting skilled engineers, PhD-level candidates, or talent in emerging technologies such as AI, software, or robotics.

• Practical experience with recruiting technology and analytical tools, including an applicant tracking system (ATS) like Workday, LinkedIn Recruiter, Talent Neuron, Tableau, and AI-enabled recruiting tools.

• Advanced capabilities in sourcing passive candidates, conducting talent analytics, and performing market mapping.

• Demonstrated ability to influence senior leaders, negotiate offers, and mentor fellow recruiters.

• Preferred: Knowledge in the domains of AI/ML, Robotics, Materials Science, or Advanced Research.

• Preferred: Experience in both corporate and agency recruiting settings.

• Preferred: Familiarity with compensation benchmarks and market dynamics.

• A bachelor's or master's degree in human resources, business, or a related field is preferred, but greater emphasis is placed on overall experience and professional accomplishments.

🏝️ Benefits

• Bonus eligibility: 10% discretionary annual bonus.

• Relocation assistance provided: No.