Senior People Scientist at WEX leading employee listening and assessment capabilities to drive data-driven decisions. Collaborating with HR leaders to enhance employee experience and talent outcomes.
Responsibilities
Manage the execution of enterprise-wide as well as topic-driven or function-specific employee surveys (e.g., engagement, pulse, lifecycle), including timeline coordination, vendor administration, and quality control
Develop and own a multi-year employee listening strategy and roadmap, aligning the program with WEX and HR priorities
Lead survey design, item validation, and sampling strategies aligned to surveys that support business and people priorities
Prepare clear, accurate survey insights for HR partners and business leaders
Maintain benchmarks, norms, and trend analyses across survey cycles
Manage the administration and ongoing evaluation of assessment tools and interview resources used across hiring, development, and other talent programs
Serve as the methodological authority/internal expert on psychometric standards, validation strategies, and legal standards to support rigorous decisions around people assessment
Maintain documentation on assessment and interview practices to ensure consistency, fairness, and defensibility
Partner with Talent Acquisition and HRBPs to ensure assessments and interview tools are implemented as designed and interpreted appropriately by recruiters and hiring managers
Translate survey and assessment findings into compelling, data-driven narratives for the executive leadership team, HR leadership team, and HR business partners
Act as an internal consultant to senior leaders and HR business partners, helping them interpret data and translate it into interventions to support key talent outcomes
Contribute to recurring listening insights (e.g., engagement drivers, focus areas) used in action planning
Support continuous improvement of listening programs by identifying opportunities to simplify, automate, or improve data quality
Play a role, as needed, in evaluating AI decision support tools, ensuring that any implemented AI systems meet legal and compliance standards
Requirements
3-5 years of experience in people analytics, organizational research, assessment, or a related field
Academic background (Master’s or PhD) in I/O Psychology or other Quantitative Psychology discipline is required
Working knowledge of survey and assessment design fundamentals, as well as advanced statistical techniques (IRT, SEM, EFA/CFA, multilevel modeling) is required
Strong ability to work with data in Excel/Google Sheets, and proficiency leveraging either Python or R for statistical analysis are required
Basic AI literacy (familiarity with LLM tools, prompt engineering, output interpretation) and related skills (critical thinking, evaluative judgement, cognitive flexibility) is preferred
Strong written communication and oral presentation skills are needed, especially the ability to translate technical findings to layman’s terms for stakeholders
Strong professional maturity to manage relationships with senior stakeholders, maintain discretion and confidentiality when needed, and understand nuanced organizational dynamics to ensure findings and recommendations are contextually relevant.
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