Description

What you'll do:

Measurement & Value Architecture

• Design and own the end-to-end measurement strategy aligned to each client’s purchased solution and stated business outcomes.
• Translate solution capabilities into defensible success metrics, KPIs, and leading indicators of impact.
• Ensure measurement frameworks are statistically sound, scalable, and aligned to client decision-making.
• Build rigorous ROI models and business cases that quantify the financial and organizational impact of the solution.
• Partner with Sales and Enterprise teams to embed impact narratives into deal strategy and late-stage sales motions.
• Produce executive-ready materials that directly support deal expansion, renewal, and upsell conversations.

Advanced Analytics & Insight Generation

• Lead advanced data analysis to identify meaningful patterns, causal signals, and outcome drivers across client datasets.
• Move beyond descriptive analytics to generate insights that explain why outcomes are occurring and what to do next.
• Validate findings against scientific standards to ensure credibility and repeatability.

Data Storytelling & Executive Communication

• Develop high-impact data narratives that translate complex analyses into clear, compelling executive insights.
• Create and deliver Business Value Reviews that demonstrate measurable value realization.
• Influence senior client stakeholders by connecting data to strategic priorities and operational decisions.

Client Value Realization & Retention

• Act as a core partner in ensuring clients achieve and recognize value from their investment.
• Proactively surface risks to value realization and recommend evidence-based course corrections.
• Strengthen client trust and long-term partnerships through credible, outcome-focused storytelling.

Scientific Integrity & Governance

• Serve as the internal authority responsible for upholding the scientific rigor, validity, and ethical standards of all measurement and analytics work.
• Safeguard the credibility of the company’s science in both client-facing and internal contexts.
• Bring pattern recognition, coaching mindset, and a high bar for strategic execution to every engagement.

Requirements

Required Qualifications

• PhD in Behavioral Science, Industrial-Organizational Psychology, Organizational Psychology, Behavioral Economics, or a closely related field

Preferred Qualifications

• Domain expertise in behavioral science AND HR (especially Talent Development or Talent Management, L&D, & OD).
• Facilitation and presentation skills, experience presenting to large audiences and executives both virtually and in person.
• Experience researching and understanding businesses including business strategy, identifying business challenges, and applying business acumen.
• Strengths in verbal and written communication, building and delivering presentations, and storytelling
• Expertise and comfort working with quantitative and qualitative data (basic statistics, examining patterns, developing recommendations based on data).
• Agility and comfort with ambiguity to adapt and adjust to the market, the state of the organization and quickly shifting priorities.
• Exceptional communication skills and the ability to craft and deliver a narrative that moves hearts and minds.
• Comfort with ambiguity, a bias for action, and a drive to make things better, not just get them done.
• Experience operating inside high-growth SaaS, human transformation platforms, or people tech companies is a plus.
• A mindset rooted in outcomes, ownership, and long-term impact
• Applies AI-driven tools and insights to enhance client engagement, identify growth opportunities, and improve account performance (e.g., personalization, upsell targeting, churn prediction)
• Uses AI-generated insights and data analysis to quantify impact on client outcomes (e.g., retention, expansion, ROI) and inform strategic account recommendations