Senior People Scientist

Role Overview

• 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 (beyond academic training) is strongly preferred.
• 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.

Tech Stack

• Python

Benefits

• health, dental and vision insurances
• retirement savings plan
• paid time off
• health savings account
• flexible spending accounts
• life insurance
• disability insurance
• tuition reimbursement