Original listing text, shown exactly as published by the company.
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.
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
