Director, Associate Experience Data & Analytics

Raymond JamesSaint Petersburg, FL
Hybrid

About The Position

This role serves as the enterprise lead for associate experience data, survey measurement, and advanced analytics, owning both the science and the strategy behind how the firm measures, analyzes, and improves the employee experience. The Director leads a multidisciplinary analytics team (survey researchers, statisticians, analysts, and data scientists) and acts as the senior expert on survey methodology, measurement rigor, advanced analytics, and insight delivery. This role is responsible for ensuring associate experience data is scientifically sound, analytically robust, and decision‑ready for senior HR and business leaders. This role has significant influence without direct client responsibility, partnering closely with HR, People Analytics, IT, and senior business leaders.

Requirements

  • Master’s degree in Industrial/Organizational Psychology, Organizational Psychology, Statistics, Data Science, or related field required
  • 10–15+ years of experience in people analytics, survey research, or human capital analytics
  • 6–10+ years of people and/or functional leadership experience
  • Demonstrated expertise in Survey design and psychometrics
  • Demonstrated expertise in Advanced statistical analysis (SPSS required)
  • Demonstrated expertise in Workforce or associate experience analytics
  • Uses deep understanding of human capital measurement, analytics, and organizational dynamics to guide decisions
  • Anticipates future analytical and measurement needs and builds forward‑looking strategies
  • Breaks down complex datasets and statistical outputs into clear, actionable insights
  • Balances methodological rigor with pragmatic business application
  • Plans and prioritizes work to align analytics efforts with strategic goals
  • Communicates persuasive, well‑reasoned recommendations to senior leaders
  • Builds trusted partnerships across HR, Analytics, IT, and the business
  • Develops and motivates high‑performing teams through coaching and feedback
  • Adapts leadership style to different stakeholders and situations
  • Continuously improves processes to enhance efficiency, accuracy, and impact
  • Applies expert‑level survey, analytics, and data governance knowledge to ensure credible outcomes
  • Demonstrates adaptability and innovation in evolving organizational environments

Nice To Haves

  • Experience with enterprise survey platforms (Qualtrics, Perceptyx preferred)
  • Advanced data visualization experience (Tableau, Prism preferred)
  • Exposure to applied machine learning or advanced analytics concepts a plus

Responsibilities

  • Serve as the firm’s senior expert on survey science and human capital measurement
  • Own the design and evolution of enterprise‑wide associate experience surveys, including: Question and scale design, Sampling strategy and survey methodology, Longitudinal comparability and trend integrity
  • Oversee survey deployment across enterprise platforms (e.g., Qualtrics, Perceptyx)
  • Establish and enforce measurement standards and best practices to ensure scientific validity and consistency
  • Act as the escalation point for complex methodological decisions or measurement risks
  • Lead advanced analytical approaches, including: Key driver and linkage analysis, Predictive modeling, Workforce segmentation and cohort analysis, Longitudinal and trend analysis
  • Ensure analytics are translated into clear, compelling insights for senior leaders
  • Guide development of dashboards and reporting solutions (e.g., Tableau, Prism)
  • Influence enterprise decisions by connecting analytics to organizational outcomes
  • Set standards for analytical storytelling and executive‑level communication
  • Own data governance for all associate experience and survey‑related datasets
  • Partner with HR data teams, IT, and enterprise analytics to: Ensure data accuracy, integrity, and consistency, Define data standards, documentation, and controls, Improve data flows and system integrations
  • Oversee data preparation and quality management to support advanced analytics and future machine‑learning initiatives
  • Serve as a strategic connector across data, analytics, and HR partners
  • Build, coach, and lead a high‑performing team of analysts, statisticians, and data professionals
  • Set clear performance expectations aligned to enterprise priorities
  • Hold leaders and team members accountable for quality, rigor, and impact
  • Identify capability gaps and implement targeted development plans
  • Foster a culture of curiosity, discipline, collaboration, and continuous improvement
  • Advise senior HR and business leaders on: Associate experience trends, risks, and opportunities, Measurement implications for strategy, programs, and change initiatives, Definition and evolution of experience‑related KPIs
  • Support organizational effectiveness and transformation initiatives through data‑driven insights
  • Influence enterprise listening and analytics roadmaps
  • Lead through expertise—driving alignment and decisions without direct authority

Benefits

  • base salary or wages
  • additional compensation (cash or equity)
  • discretionary bonuses
  • commissions
  • medical insurance
  • dental insurance
  • vision insurance
  • life insurance
  • critical illness insurance
  • accident insurance
  • disability benefits
  • retirement savings
  • paid time off (including vacation, holidays, and sick leave)
  • parental leave
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