[Hiring] Director, Data Intelligence @FranklinCovey

Role Description

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:

• Migrating legacy data systems
• 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
• 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
• Establish KPI standards and governance frameworks
• Create 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
• Data scientists

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 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 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. This role requires both technical expertise, communication skills, and the ability to influence decision-making at the highest levels of the organization.

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)

Requirements

• 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
• Demonstrated experience applying machine learning and generative AI in a production environment, with the ability to translate outputs into clear business recommendations for non-technical audiences
• Strong cross-functional leadership across operations, finance, commercial, and IT teams
• Ability 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
• Can 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
• More details available at franklincoveybenefits.com