Director, Data Intelligence

🕒 Yesterday

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🔴 Lead

👔 Director

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FranklinCovey

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1997

We give strategy the human edge™.

📋 Description

• Architect and lead FranklinCovey’s enterprise data strategy • Own the full data infrastructure lifecycle, including legacy-system migration and modern data warehouse implementation • Translate raw data into actionable business intelligence for Sales, Marketing, Finance, Operations, and Product • Establish KPI standards, governance frameworks, and a unified data operating model • Lead and mentor a Data & Analytics team of data engineers, analysts, and BI developers • Define team structure, hiring roadmap, and capability-development plan • Develop and execute a roadmap to unify data across company systems and functions • Create a company-wide KPI and metrics framework • Design, build, and maintain a reliable, scalable data warehouse • Manage third-party vendors and system integrators supporting migration • Ensure continuity for downstream reports and dashboards during platform migration • Partner with IT, Finance, and Operations to inventory source systems and document data lineage • Apply AI-assisted analytics and machine learning to generate predictive insights and automate workflows • Prototype solutions and shape an AI roadmap aligned with business needs • Make actionable recommendations and identify levers affecting target metrics • Establish data ownership, data contracts, and governance processes • Improve source data quality by resolving root-cause issues in ERP and operational systems • Enable consistent reporting, performance tracking, and future AI capabilities • Influence executive decision-making while reporting to the CFO and EVP Operations

🎯 Requirements

• 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, such as Jupyter, scikit-learn, XGBoost, and ARIMA • 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 • Ability to translate analytical 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 • 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, including explaining machine-learning implications to non-technical stakeholders • Ability to work independently with little direction; self-starter

🏖️ Benefits

• 15% variable pay • Medical insurance • Dental insurance • Vision insurance • HSA • Employee stock purchasing program • 401(k) • Paid time off • Holiday pay • Remote work • More benefits detailed at franklincoveybenefits.com