Vp Of Global Data And Analytics

Build a Bigger, Better, Bolder Future

Imagine working for a company that measures its success based off the growth of its colleagues, a company that invests in its future by investing in you. Little Caesars is a company where our colleagues make an impact.

Your Mission

The Vice President of Global Data and Analytics will lead the vision, strategy, and execution for enterprise data for Little Caesar Enterprises, Inc. and Ilitch companies to further build on goals of being a data-driven global enterprise. The position is responsible for articulating strategic opportunities for data analytics, for developing and delivering the roadmap to use cases from science to marketing, for developing resources and upskilling the businesses, and for driving the data strategy all as a connected part of the Little Caesars and Ilitch companies global ecosystem.

How You’ll Make an Impact

• Lead machine learning and artificial intelligence initiatives.
• Oversee various current and potential visualization tools leveraging Little Caesar Enterprises, Inc. technology wherever appropriate.
• Oversee global data governance and data integrity protocols and procedures.
• Drive, mentor, and motivate the organization to focus on continuous operational excellence, enterprise analytics architecture evolution, improved solution design practices, and high-value technology selection decisions with transparency to business leaders and alignment with enterprise architecture.
• Manage data insights and analytics, including enterprise dashboards and support the creation of functional dashboards in partnership with business functions.
• Build an internal and external brand for the organization aimed at talent acquisition and retention in a highly competitive market.
• Lead a global team of data engineers, data analysts and data scientists who are responsible for enterprise analytics and providing tools, data and expertise to functional business analytics teams within Ilitch companies.
• Creation and management of a global integrated analytics roadmap.
• Define and own the strategy for investments, working closely with key business analytics leaders, and executive management.
• Lead the team responsible for building and managing the technical infrastructure, data platform and visualization technologies.

Who You Are:

• Bachelor’s degree in Computer Science, Engineering, Statistics, Applied Mathematics or a related field.
• Proven track record of coaching/mentoring individual contributors into more senior roles.
• Outstanding business acumen with an understanding of business drivers and of how to drive value to the customer.
• Minimum of 10 + years working with a broad range of business intelligence (BI) tools.
• Ability to translate business needs to analytic requirements and interpret the results of complex data analysis and communicate them to broad audiences.
• Minimum of 15 + years working in data pipelines, data warehouse, data analytics, data science, machine learning, artificial intelligence (AI), or related disciplines.
• Proven leadership building data analytics, data science and data engineering capabilities.
• Minimum of 10+ years working with customer data in a retail or quick service restaurant environment.

What Will Make You Stand Out

• Knowledge and practical application of advanced statistical analysis and mathematical modeling concepts and principles.
• Experience in driving and leading data governance practices.
• Advanced degrees in Computer Science, Engineering, Statistics, Applied Mathematics or a related field.
• Experience working for/with business to consumer (B2C) technology companies.
• Experience productionalizing machine learning models.

Where You Will Work

• This position requires approximately 10%-20% travel which may include travel to restaurant locations and trade shows. This position requires the ability to adhere to the LCE Travel policy.
• Works in a normal office environment where there is no physical discomfort due to temperature, noise, dust and the like.
• Requires accessibility during non-traditional hours such as evening, nights and weekends.