Executive Director, People Experience (PX) Analytics

Key Responsibilities

• Lead the development and delivery of actionable dashboards, models, and reporting for PX Leadership and business stakeholders.
• Lead ad hoc analyses and trend reporting to support strategic and tactical business decisions.
• Develop and conduct updates with People & Organization (P&O) leadership to share key workforce metrics, trends, and insights.
• Optimize and manage employee engagement surveys and analyze engagement trends to inform organizational strategy.
• Execute innovative AI-driven solutions that streamline reporting, automate workforce insights, and enable more proactive, data-informed decision-making.
• Develop reporting and analytics that integrate workforce, workplace, facilities, real estate, and S3 data to support operational effectiveness and strategic planning.
• Deliver insights related to workplace utilization, employee experience, environmental sustainability initiatives, and operations.

People Analytics Leadership

• Collaborate with VP, People Experience Strategy on priorities to shape the people analytics roadmap with both short- and long-term objectives.
• Identify opportunities where data and analytics can improve talent outcomes, workforce planning, employee experience, operational efficiency and company culture and communicate them to senior P&O and business leaders.
• Work with Facilities, Real Estate, S3 and other functions to identify opportunities where data and analytics can improve workplace experience, operational performance, and compliance.
• Execute company-wide analytics strategies that connect workforce and workplace insights to broader business and operational objectives.
• Collaborate with Technology & Enablement team to ensure data quality, governance, and compliance across systems and reporting platforms.
• Possess strong expertise in HR systems, people analytics platforms, and business intelligence tools, including Workday, ServiceNow, Tableau, Culture Amp, Power BI, and advanced Excel capabilities.
• Experience with statistical analysis, workforce modeling, and data visualization techniques.
• Understand P&O metrics, workforce planning methodologies, employee engagement measurement, and organizational effectiveness frameworks.
• Familiarity with AI, automation, and emerging analytics technologies required.
• Working knowledge of Snowflake and other enterprise analytics platforms is a plus.
• Familiarity with operational reporting, workplace analytics, occupancy/utilization metrics, ESG or sustainability reporting, and cross-functional data integration strategies is a plus.

Qualifications

• Required Experience:
  • 10+ years of experience in people analytics, data analytics, business intelligence, workforce strategy, data science, and/or related fields.
  • 3+ years of leadership experience managing high-performing analytics or insights teams, preferably within entertainment or related industries.
  • Demonstrated success scaling people analytics capabilities within established organizations.
  • Proven ability to influence using data-driven insights and strategic recommendations.
  • Demonstrated experience developing people metrics, key performance indicators, and associated trend analysis.
  • Ability to collaborate cross functionally to optimize outcomes.
• Technical Expertise:
  • Strong expertise in HR systems, people analytics platforms, and business intelligence tools, including Workday, ServiceNow, Tableau, Culture Amp, Power BI, and advanced Excel capabilities.
  • Experience with statistical analysis, workforce modeling, and data visualization techniques.
  • Understanding of P&O metrics, workforce planning methodologies, employee engagement measurement, and organizational effectiveness frameworks.
  • Familiarity with AI, automation, and emerging analytics technologies required.
  • Working knowledge of Snowflake and other enterprise analytics platforms is a plus.
  • Familiarity with operational reporting, workplace analytics, occupancy/utilization metrics, ESG or sustainability reporting, and cross-functional data integration strategies is a plus.
• Education:
  • Bachelor’s degree in Analytics, Data Science, Human Resources, Business, Statistics, Economics, or related field required.
  • Master’s degree preferred.

The anticipated base salary for this position is $205,000 to $250,000. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.