Little Caesar Enterprises, Inc.
VP,GlobalData&Analytics
“VP, Global Data & Analytics at Little Caesar Enterprises, Inc.. Skills: Data Strategy, Analytics Roadmap, Team Leadership. Own and develop vision, strategy, execution for global enterprise data. Drive data-driven decision making culture”
What You'll Achieve.
Build a data-driven global enterprise; Ensure scalability of systems, processes, talent; Deliver measurable business outcomes
Industry & Context.
Identify and articulate strategic data opportunities; Interpret results of complex data analysis
Approximately 10%-20% travel, Accessibility during non-traditional hours such as evening, nights and weekends
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Statistics, Applied Mathematics or a related field, Minimum of fifteen (15) years working in data pipelines, data warehouse, data analytics, data science, machine learning, artificial intelligence (AI), or related disciplines, Minimum of ten (10) years working with a broad range of business intelligence (BI) tools, Minimum of 10 years of management experience, including leading individual contributors and/or teams, with demonstrated accountability for performance management, talent development, and succession planning to support progression into more senior-level roles, Experience building and leading data analytics, data science, and data engineering teams, including scaling capabilities (e. g. , team size, tools, or platforms) and delivering measurable business outcomes
Nice to Have
Advanced degrees in Computer Science, Engineering, Statistics, Applied Mathematics or a related field, Experience working with customer data in a retail or quick service restaurant environment, Experience working for/with business to consumer (B2C) technology companies, Knowledge and practical application of advanced statistical analysis and mathematical modeling concepts and principles, Experience in driving and leading data governance practices, Experience productionizing machine learning models
What You'll Do.
Own and develop vision
execution for global enterprise data
Drive data-driven decision making culture
Engage with senior leaders
Create and manage global integrated analytics roadmap
Lead team building and managing technical infrastructure
Ensure support structure for data products
Lead team creating and maintaining reporting tools
Lead and scale global team
Define and own strategy for investments
Manage data insights and analytics
Oversee current and potential visualization tools
Create environment for power users
Oversee global data governance
Support machine learning and AI initiatives
motivate organization
Build internal and external brand
How You'll Work.
Team & Collaboration
Engage with senior leaders to educate and meet needs; Partner with business functions on dashboards; Partner with key business analytics leaders; Partner with executive management; Partner with business leaders
Communication Scope
Communicate results to broad audiences; Communicate effectively across technical and non-technical audiences
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