Associate Director, Talent Analytics & Assessment Science

Ladders; United States; Remote; USD 132,000 - 194,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision

401(k) and pension plan

Flexible spending accounts

Employee assistance program

Professional development opportunities

Job summary

Ladders is seeking an Associate Director of Talent Analytics & Assessment Science to lead enterprise listening and assessment efforts. You will shape leadership insights by translating data into actionable narratives while advancing AI-enabled HR analytics in a regulated, science-driven environment.

Remote - US-based candidates only, no visa sponsorship. Compensation ranges from $132,000 to $193,600 annually, with comprehensive benefits and opportunities for professional development.

Qualifications

• Master's degree in industrial-organizational psychology or related field.
• 5+ years in psychometrics, assessment science, and validation.
• Experience leading an enterprise employee listening or survey program.
• Strong knowledge of statistics and analytics for impact analysis and program evaluation.
• Experience with AI in HR and evaluating AI/ML outputs for bias and fairness.

Responsibilities

• Own and evolve the enterprise employee listening strategy.
• Define methodologies for employee listening using AI and data insights.
• Design survey architecture in collaboration with HR stakeholders.
• Translate listening outputs into actionable leadership narratives.
• Lead validation analyses for assessment tools and ensure compliance with standards.
• Conduct impact analysis linking talent data to workforce outcomes.
• Lead storytelling insights and present clear recommendations.

Skills

Psychometrics

Assessment science

Validation methodology

Employee listening

Survey program

Statistics

Analytics methods

AI in HR

Bias fairness

Education

Master's degree in industrial-organizational psychology

Organizational behavior degree

Job description

For our client, we are seeking a Associate Director, Talent Analytics & Assessment Science to join the team of a leader in the Pharmaceuticals & Biotech space.

This role will lead enterprise talent analytics and assessment science efforts that shape how the organization listens to employees, evaluates talent practices, and converts data into actionable leadership insight. The position will partner closely with HR stakeholders and business leaders to strengthen survey design, measurement rigor, and decision-making across the employee experience. It also plays a key role in advancing AI-enabled approaches to HR analytics while ensuring methods remain statistically sound, fair, and compliant.

The Associate Director will help translate complex findings into clear narratives that inform workforce strategy and improve talent outcomes in a highly regulated, science-driven environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $132,000 – $193,600 annually

Responsibilities

• Own and evolve the enterprise employee listening strategy, including various survey types
• Define new methodologies for employee listening using AI and data insights
• Design survey architecture and collaborate with HR stakeholders on question design
• Translate listening outputs into actionable insights and leadership narratives
• Lead validation and adverse-impact analyses for assessment tools and ensure compliance with standards
• Conduct impact analysis connecting talent management data to workforce outcomes
• Serve as the lead for storytelling insights, translating complex analyses into clear recommendations

Qualifications

• Master's degree in industrial-organizational psychology, organizational behavior, or a related field
• 5+ years of experience in psychometrics, assessment science, and validation methodology
• Proven experience leading an enterprise employee listening or survey program
• Strong knowledge of statistics and analytics methods for impact analysis and program evaluation
• Experience with AI applications in HR and evaluating AI/ML outputs for bias and fairness

Benefits

• Comprehensive benefit program including medical, dental, and vision coverage
• 401(k) and pension plan participation
• Flexible spending accounts for healthcare and dependent care
• Employee assistance program and wellness benefits
• Opportunities for professional development and training

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.