Director, Data Intelligence

About the role

The Director of Data Intelligence & Analytics will architect and lead the company's data strategy at a critical inflection point. This role will own the full lifecycle of data infrastructure, translating raw data assets into actionable business intelligence that drives decisions across various departments.

Responsibilities

• 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.
• Develop machine learning models and predictive forecasts to improve key business 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.

Requirements

The ideal candidate brings a consultant-style mindset and has demonstrated ability to translate ambiguous business problems into structured 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.

Qualifications

• Bachelor’s degree
• 7+ years of progressive experience in data engineering, analytics, or business intelligence
• 5+ years of experience writing Python code in a production environment
• Experience with a cloud computing ecosystem (preferably AWS and Snowflake)
• Knowledge of machine learning models and statistical analysis
• Experience using common ML frameworks (e.g. jupyter, scikit-learn, XGBoost, ARIMA)

Skills

• Expert level SQL proficiency
• Understanding of cloud architecture and data lakes
• Proven experience delivering a data warehouse from design to production in a mid-to-large enterprise environment
• Demonstrated experience managing a full-scale data migration, including legacy system decommissioning
• Proven ability to translate data into measurable operational improvements, beyond reporting and dashboards
• Strong cross-functional leadership across operations, finance, commercial, and IT teams
• Able to operate effectively in fast-paced and ambiguous environments while bringing structure to fragmented systems
• Ability to develop ETL pipelines without the support of a full data engineering team
• Experience in professional services, SaaS, or subscription-based business models
• Excellent communication skills - can get past the "blackbox" of a ML model and explain the so-what to non-technical stakeholders
• Ability to work independently with little direction - a self starter

Benefits

• Medical, dental, and vision insurance
• HSA
• Employee stock purchasing program
• 401(k)
• Paid time off
• Holiday pay
• and more

Pay

Anticipated compensation for this position is a base salary of $170-200k* plus 15% variable pay.

Schedule

Full-time regular exempt.