Director, Research & Data Strategy

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $148k - $192k / year

⏰ Full Time

🔴 Lead

👔 Director

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FranklinCovey

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1997

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

FranklinCovey is a global leader in organizational transformation, specializing in developing exceptional leaders, teams, and cultures that drive business results. They provide a range of services including training courses, executive coaching, and consulting, focusing on personal and interpersonal effectiveness to enhance individuals' skills and overall team performance. With tools such as the All Access Pass and the 7 Habits of Highly Effective People®, FranklinCovey empowers organizations to achieve consistent, breakthrough results in various sectors.

📋 Description

• Develop and execute an integrated research and measurement agenda for the FranklinCovey Institute • Define and lead strategy for mobilizing proprietary behavioral, assessment, learning, and outcome data into client value • Identify, size, and prioritize data product opportunities including benchmarks, diagnostic insights, impact reporting, and AI-enabled recommendations • Partner with Product, Technology, commercial, legal/privacy, sales, marketing, and strategic planning teams • Author white papers, research reports, and other significant publications • Lead and develop researchers and analytical contributors • Scope, prioritize, and manage research projects, partnerships, budgets, timelines, and quality standards • Evaluate data coverage, consistency, dataset linkage, and fitness for research and client-facing products • Design rigorous approaches to measure behavior change and organizational outcomes • Conduct and guide statistical analyses, study design, segmentation, and modeling • Evaluate diagnostic and assessment results for personalized learning and development recommendations • Explore and validate AI, machine learning, and advanced analytical methods • Translate research findings, data science methodologies, and analytical models into product requirements and capabilities • Monitor research, market trends, client needs, competitor activity, and data offerings • Present findings, recommendations, methodological tradeoffs, and confidence levels to senior leaders and external audiences • Ensure appropriate data access, privacy, security, consent, and responsible data use within enterprise governance

🎯 Requirements

• Ph.D. in quantitative social science, psychology, organizational behavior, economics, statistics, or a related field; or a master’s degree in a relevant field with substantial experience in advanced quantitative and behavioral research methods • 7+ years of relevant experience, or 10+ years for candidates with a master's degree, in applied behavioral or social science research, measurement, psychometrics, or data science applied to people, learning, or organizational data • Ownership of complex studies or analytical programs • Experience leading research teams and producing published research or market-facing thought leadership • Hands-on proficiency with statistical analysis tools such as R, Python, Stata, or SPSS • Working SQL for data access • Experience with research design, data quality assessment, and interpretation of observational data • Strong writing and presentation skills, including communicating findings and limitations to nontechnical business audiences • Expertise in longitudinal measurement, psychometrics, causal inference, experimentation, predictive modeling, and/or benchmark development • Experience with enterprise learning, leadership development, organizational behavior, talent analytics, or human performance • Experience collaborating with product and technology teams to translate research and analytical insights into data-driven products, platforms, or digital tools • Experience defining strategy for data products or data monetization • Experience developing, training, fine-tuning, or integrating AI models and expert systems against proprietary content, assessment, and research data • Familiarity with data governance, privacy-preserving analytics, and responsible use of customer data

🏖️ Benefits

• 15% variable pay • Medical insurance • Dental insurance • Vision insurance • HSA • Employee stock purchasing program • 401(k) • Paid time off • Holiday pay

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