Spe

Spe

Executive Director, People Experience (PX) Analytics

Culver City, California · Director

Sponsorship not specified$205k-$250kDetected 31 days ago
SnowflakeData AnalysisData ScienceData VisualizationStatisticsExcelHRHRISLeadership

About the role

  • The Executive Director, People Experience Analytics will play a critical role in shaping and advancing SPE's people and workplace analytics strategy and capabilities.
  • They will need to be proactive, strategic, and collaborative, with the ability to balance long-term vision and operational execution while navigating the real time needs of an evolving environment.

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.
  • 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.
  • Collaborate with VP, People Experience Strategy on priorities to shape the people analytics roadmap with both short- and long-term objectives.
  • Collaborate with Technology & Enablement team to ensure data quality, governance, and compliance across systems and reporting platforms.
  • Partner closely with teams across SPE to optimize data architecture and reporting infrastructure.

Requirements

  • 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.
  • Proven ability to influence using data-driven insights and strategic recommendations.
  • 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.
  • Familiarity with AI, automation, and emerging analytics technologies required.
  • The ideal candidate combines deep analytical expertise with strong business acumen, executive presence, and strong ability to break down complex analytics into consumable and meaningful insights.
  • Required Experience
  • Demonstrated success scaling people analytics capabilities within established organizations.
  • Demonstrated experience developing people metrics, key performance indicators, and associated trend analysis.
  • Ability to collaborate cross functionally to optimize outcomes.
  • Understanding of P&O metrics, workforce planning methodologies, employee engagement measurement, and organizational effectiveness frameworks.

Nice to have

  • Master's degree preferred.
  • 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.

Skills

  • Sony Pictures does not allow audio recording, video recording or use of AI note-taking tools during interviews.

Compensation

  • The anticipated base salary for this position is $205,000 to $250,000.

Equal opportunity

  • Sony Pictures Entertainment is an equal opportunity employer.
  • To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

This listing is sourced directly from Spe's careers page and normalized into a canonical job model.