Director, Data Intelligence

🕒 September 17

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume