We give strategy the human edge™.
FranklinCovey (NYSE: FC) is the world’s most trusted leadership and organizational performance partner that gives strategy the human edge. We help organizations achieve the breakthrough results that matter most. Using proven, principle-centered frameworks and practices, we build high-trust leaders, teams and cultures and help clients translate strategy into consistent execution. For more than 40 years, we have tested this approach with thousands of clients from Fortune 100 companies to educational and government institutions, providing professional services across 160 countries.
To learn more, visit franklincovey.com
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
- 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)
Preferred Skills & Experience
- 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 include medical, dental, and vision insurance, HSA, employee stock purchasing program, 401(k), paid time off, holiday pay, and more. Please visit https://franklincoveybenefits.com/ for details.
*Actual offer may be outside of this range and will be determined by education, experience, knowledge, skills, and abilities, as well as geographic location, internal equity and alignment with market data.
**Unless otherwise noted, applications will be accepted for a minimum of three (3) days from the initial published date on the FranklinCovey job board, but the posting may close at any time after the specified duration.
Employer Information
For an overview of our Interview Process, please visit https://www.franklincovey.com/about/careers/working-at-franklincovey/.
FranklinCovey is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Please visit https://www.franklincovey.com/careers/notices-and-provisions/ for our full Equal Employment Opportunity policies and Nondiscrimination Provision.
Direct Reasonable Accommodation requests to [email protected].
For our Privacy Policy, please visit https://www.franklincovey.com/privacy.
#LI-Remote
#LI-AT1
Franklin Covey Co Irvine, California, USA Office
Irvine, United States
Franklin Covey Co Los Angeles, California, USA Office
Los Angeles, United States
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
