Vice President, AI Talent Aquisition

Penguin Solutions•Newark, NJ

4d•Hybrid

About The Position

The Global VP, AI Talent Acquisition sets the global strategy, standards, and governance for end-to-end talent acquisition across regions, while leading execution for senior and executive hiring, including building differentiated approaches to attract and hire AI-focused talent. The role drives consistent processes, systems, and reporting to improve quality of hire, speed, cost, and candidate experience.

Requirements

13+ years of progressive talent acquisition leadership, including global or multi-region scope; experience leading senior/executive hiring, including scarce technical talent segments (e.g., AI/ML, data, software engineering).
Demonstrated experience sourcing, assessing, and closing AI/ML and data talent across levels (individual contributor through senior leadership), with strong understanding of AI labor markets, compensation dynamics, and candidate motivations.
Demonstrated ability to build governance, operating models, and scalable TA processes across geographies.
Strong analytics and executive communication skills; able to translate TA metrics into actions and decisions.
Experience with ATS strategy, data standards, and driving adoption and change management.
Collaborative, consultative leader with strong stakeholder management and vendor/partner oversight experience.

Responsibilities

Define and evolve the global TA strategy aligned to enterprise talent priorities and workforce plans.
Partner with business and technical leaders to translate AI strategy into hiring priorities, role definitions, and workforce plans (e.g., applied ML, GenAI, MLOps, data engineering, AI product).
Own global TA standards, policies, and end-to-end processes; clarify global vs. regional roles and decision rights.
Serve as the escalation point for governance to ensure consistency, transparency, and compliance across regions.
Lead end-to-end hiring for Director-level and executive roles in partnership with senior leaders and HR.
Build and maintain strategic talent pipelines for critical roles and capabilities; provide market insight to inform hiring decisions.
Develop sourcing and assessment strategies for AI/ML and data roles, including calibrated interview frameworks, technical evaluation partners, and competitive offer/closing approaches in tight talent markets.
Ensure consistent assessment and selection standards for senior hiring.
Own the global TA KPI framework (quality, speed, cost, and candidate experience) and define reporting standards.
Consolidate regional performance into monthly dashboards; lead executive reviews with CHRO and senior leadership.
Use insights to identify risks and drive improvement actions across processes, capability, and partner performance.
Set the global TA systems strategy (e.g., ATS) including selection, implementation governance, and data standards.
Ensure consistent system adoption, data integrity, and reporting across regions.
Leverage data, automation, and responsible AI-enabled recruiting capabilities (where appropriate) to improve sourcing efficiency, screening quality, and pipeline visibility for critical skill segments.
Design and govern global recruiting program frameworks (e.g., intern/trainee/MBA and other early-career programs).
Define success metrics, roles, and governance for programs and onboarding.
Lead the design and global implementation of a consistent onboarding framework in partnership with HR, IT, and business leaders.
Set the global strategy and governance for executive search firms, agencies, and external partners; manage preferred supplier models and performance reviews.
Partner with Communications/Marketing to align employer brand/EVP and candidate experience standards; build strategic talent pipeline approaches.
Shape EVP messaging and targeted campaigns to attract AI/ML and data talent (e.g., thought leadership, community engagement, university/research relationships, and conference presence).
Enable stakeholders through training for hiring managers and leaders (process, interviewing/assessment, decision quality).