Lead, Formative Product Measurement

Role Summary 

The Lead, Formative Product Measurement is accountable for leading the execution and evolution of the measurement strategy across our formative assessment portfolio. 

This role operates within and advances the broader formative measurement vision for the organization, helping translate strategic direction into scalable measurement systems, research programs, and AI-enabled innovation. 

In close partnership with executive measurement leadership, this role shapes the continued development of our precision learning architecture through methodological leadership, applied research, and cross-functional collaboration. 

This leader oversees psychometrics, learner and domain modeling, AI-assisted measurement and learning innovation, and the research agenda that underpins product design, efficacy, and validity. 

Key Responsibilities 

1. Measurement Strategy & Product Architecture 

• Lead execution and continuous improvement of the formative measurement strategy including diagnostic measurement design, learner and domain models, and recommender systems with adaptive feedback loops. 

• Operationalize measurement systems connecting content, scoring, reporting, AI-enabled insights, and instructional guidance. 

• Ensure alignment between measurement design and assessment-as-learning principles with Learning Science teams. 

• Guide integration of AI-assisted academic guidance and AI-scored written and spoken assessments. 

2. Psychometrics & Methodological Innovation 

• Oversee psychometric design, calibration, scaling, and maintenance of formative item banks. 

• Lead methodological research on diagnostic models, adaptive systems, reporting frameworks, and AI-scoring validation. 

• Advance modern measurement approaches in applied formative contexts. 

• Ensure measurement decisions are empirically grounded and aligned with intended use. 

3. Validity & Interpretive Frameworks 

• Lead development of validity arguments supporting rigorous aligned content, score interpretations, instructional recommendations, and AI-a