Senior Manager, Talent Intelligence & Acquisition

TL;DR

Senior Manager, Talent Intelligence & Acquisition (HR): Leading the modernization and scaling of talent acquisition through market intelligence, data, and AI with an accent on proactive workforce strategies and competitive benchmarking. Focus on transforming reactive recruiting into a data-driven function, building global talent maps, and integrating AI-enabled sourcing tools.

Company

A global leader in high-voltage power conversion and semiconductor technology.

What you will do

• Lead full-lifecycle recruiting for technical, engineering, and business functions to ensure high quality of hire.
• Build global talent intelligence capabilities, including market mapping, competitive benchmarking, and workforce trends analysis.
• Partner with senior leadership and HRBPs to align hiring strategies with business priorities and organizational needs.
• Modernize TA operations by implementing AI-enabled sourcing, screening, and recruiting tools.
• Manage external recruiting partners and vendor relationships to optimize costs and delivery effectiveness.
• Drive operational excellence through standardized workflows, recruiting governance, and data-driven metrics.

Requirements

• 8+ years of progressive full-lifecycle recruiting experience, specifically supporting technical or specialized talent.
• Proven success in identifying and engaging passive talent in highly competitive markets.
• Experience partnering with senior stakeholders in fast-paced, high-growth, or transforming environments.
• Analytical mindset with the ability to use recruiting metrics and dashboards to influence decisions.
• Strong business acumen and ability to align talent strategies with organizational goals.

Nice to have

• Experience in semiconductors, engineering, manufacturing, or hardware industries.
• Experience leading organizational change, transformation, or scaling initiatives.

Culture & Benefits

• Environment that values a builder mentality and a passion for innovation in recruiting.
• Collaborative, consultative partnership style with a strong sense of ownership and accountability.
• Focus on continuous improvement and the future of AI-driven workforce transformation.