Responsibilities ā¢ Provide visible leadership in shaping recruiting analytics and insights strategies across the organization ā¢ Partner with recruiting leaders, business partners, and stakeholders to identify opportunities and implement data-informed improvements ā¢ Lead the development of recruiting data perspectives, including metrics, visuals, deliverables, and insights used across the company ā¢ Design and communicate complex data analyses, research studies, and measurement frameworks in a clear and accessible way ā¢ Translate analytics and research findings into actionable insights aligned with recruiting objectives ā¢ Build and execute a multi-year roadmap for recruiting analytics, evolving the organization from reactive reporting to predictive and proactive insights ā¢ Define and track key performance metrics such as Quality of Hire, Lifetime Value of Hire, and Source Effectiveness ā¢ Develop dashboards and proactively surfaced insights for executive and operational audiences ā¢ Conduct reviews of the recruiting lifecycle to identify opportunities to improve data quality, insight integrity, and decision effectiveness ā¢ Collaborate with cross-functional partners including data engineering, dashboard design, recruiting, HR, finance, and workforce planning ā¢ Evaluate new initiatives for strategic alignment and prioritize work based on long-term organizational impact ā¢ Communicate vision effectively and influence stakeholders to align with shared goals ā¢ Build and maintain strong, trust-based relationships with key partners ā¢ Optimize resources to maximize impact while aligning work with recruiting and company priorities. Required Qualifications Degree in Data Science, I/O Psychology, Statistics, Human Resources, or a related field, or equivalent experience 8+ years of experience in people analytics, research, or a related field 3+ years of experience leading teams or complex, cross-functional initiatives Demonstrated ability to translate complex data into actionable business insights Strong understanding of research methodologies and statistical techniques Experience using data visualization tools such as Tableau or Power BI Experience working with large-scale datasets and developing measurement frameworks Strong communication skills with the ability to present insights to a variety of audiences, including executive leaders.