Manager 3, People Data & Analytics

About the Role

Key Responsibilities

• Lead a high performing team of data analysts to develop and deploy AI-powered analytics models to enhance talent acquisition, performance management, and hiring.
• Partner with business leaders to identify and address their people data and analytics needs.
• Implement predictive analytics and machine learning algorithms to anticipate workforce trends, such as attrition, engagement, and velocity.
• Leverage leading analytics AI methods and tools for sentiment analysis to extract insights from employee feedback, surveys, and communications.
• Translate complex technical concepts into easy-to-understand stories and insights for broad audiences.
• Provide a strong point of view on utilizing advanced analytics tools, AI capabilities, and statistical methods to translate data into visually compelling, easy-to-understand insights.
• Collaborate with other analytics and technology functions across the organization to share best practices, solutions, and lead adoption of enterprise analytics technologies, especially AI analytics solutions.
• Stay up-to-date on the latest trends in people data and analytics, particularly emerging trends in AI for analytics.
• Develop and maintain relationships with key stakeholders at all levels in the organization.

Requirements

• 5-10 years of experience in people data and analytics, with a focus on advanced analytics and AI.
• Proven experience with AI and machine learning, with a record of practical application of these technologies.
• Strong leadership and management skills with experience in transforming individuals into a high performing team.
• Ability to work well through ambiguity, make tough decisions, and lead change with a focus on the right outcomes.
• Excellent communication skills with the ability to translate complex technical concepts into understandable insights.
• Passion for using data to drive decision-making and improve employee experience.
• Strong work ethic, attention to detail, ownership, and end-to-end thinking.
• Master's degree in data science, statistics, or a related field (preferred).

Nice to Have

• Experience in developing and maintaining relationships with stakeholders at all levels.
• Knowledge of emerging trends in AI for analytics.