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Title: Director, Data Intelligence & Analytics
Global Title: Director, Data Intelligence
Division & Department: Corporate Data Intelligence
Status: Full-Time Regular Exempt
Reports to: EVP
Location: Remote – Anywhere in the contiguous US (may require ~25% travel)
Compensation: Anticipated compensation for this position is a base salary of $160-190k* plus 15% variable pay.
Date Posted: 09/17/2026**

Job Summary
FranklinCovey is establishing a new Director of Data Intelligence role to architect and lead the company's data strategy at a critical inflection point. This leader will own the full lifecycle of data infrastructure — from migrating legacy data systems to designing, building, and operationalizing a modern enterprise data warehouse. The Director will translate raw data assets into actionable business intelligence that drives decisions across Sales, Marketing, Finance, Operations, and Product.

This is a high-impact, hands-on leadership role suited for a builder who thrives in ambiguous environments, can stand up infrastructure from the ground up, and has the executive presence to influence stakeholders across the organization.

The Director of Data Intelligence & Analytics will define and implement the company’s data strategy – establishing KPI standards, governance frameworks, and creating a unified data operating model across the organization. You will act as the bridge between business leaders, Operations and IT, ensuring data is accurate, consistent and directly tied to operational decision-making. The role will manage a newly established team of data analysts, BI developers, and data scientists that aim to centralize all of Franklin Covey’s data intelligence functions. This person will be a visionary, capable of envisioning innovative data driven products or services to influence the company’s strategy and execution. They will need to be able to articulate, educate and socialize the organization about the capabilities and value of data science. The ideal candidate brings a consultant-style mindset and has demonstrated ability to translate ambiguous business problems into structure data-driven actions while doing long-term planning and executing on those plans in an enterprise setting.

This is a highly visible, foundational role dual reporting to the CFO and EVP Operations, sitting at the center of the company's transformation agenda. This role requires both technical expertise, communication skills and the ability to influence decision making at the highest levels of the organization.

Essential Job Functions

• Build, lead, and mentor a high-performing Data & Analytics team, including data engineers, analysts, and BI developers. Define team structure, hiring roadmap, and capability development plan as the function scales. Shape the enterprise data strategy by developing and executing a comprehensive roadmap to unify data across Franklin Covey systems and functions — ensuring alignment with company-wide priorities and influencing the decisions of partners.
• Standardize KPIs and metrics by creating a company-wide framework aligned with business performance and decision-making.
• Create a reliable, scalable, and maintainable data warehouse by implementing best technical practices. Oversee the data warehouse design & build and manage third-party vendors or system integrators supporting the migration effort
• Ensure business continuity for downstream consumers of reports and dashboards during a platform migration. Partner with IT, Finance, and Operations to inventory source systems and document data lineage.
• Apply and direct AI-assisted analytics and machine learning to surface predictive insights and automate data workflows, while prototyping solutions and shaping a scalable AI roadmap aligned to growing business needs and improving key outcomes like churn and customer experience.
• Make actionable recommendations for stakeholders and explain what levers will have the greatest impact on target metrics.
• Establish data governance by defining ownership, data contracts, and governance processes to improve data quality and accountability.
• Improve data quality at the source by partnering with operations and finance teams to resolve root-cause issues within ERP and operational systems.
• Enable scalable decision-making by building a strong foundation for consistent reporting, performance tracking, and future AI capabilities.

Basic Qualifications