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CAVA · 3 weeks ago

Senior Manager AI Enablement and Data Science

Washington, DC

Full-time

Hybrid

Senior Level, Lead/Staff

$230K/yr - $270K/yr

10+ years exp

CAVA is a company dedicated to making healthy eating accessible and enjoyable. They are seeking a Senior Manager for AI Enablement and Data Science to lead the strategy and execution of AI and data science initiatives, empowering business teams through advanced analytics and scalable AI capabilities.

Food and BeverageFood ProcessingHospitalityRestaurants

No H1B

Responsibilities

Define and execute the AI/ML/Gen AI technical direction, vision, and roadmap ensuring alignment with strategic goals

Serve as a trusted advisor to senior executives, translating complex data science topics into business language

Lead cross-functional AI Council to ensure compliance with data privacy, security, and ethical AI standards and identify high-value AI use cases and prioritize investments

Establish frameworks, platforms, and reusable assets to democratize AI and make it accessible across business units

Develop team strategy

Oversee the design, development, and deployment of machine learning models and algorithms to solve QSR-specific challenges, including:

Predictive analytics for inventory and supply chain optimization

Customer segmentation and personalized recommendation systems for drive-thru, mobile apps, and loyalty programs

Real-time analytics for operational efficiency, such as staffing optimization and queue management

Natural language processing (NLP)

Collaborate with IT and engineering teams to build and maintain robust data pipelines, ensuring high-quality, real-time data availability for AI applications

Translate complex AI models into actionable insights and tools that non-technical stakeholders (e.g., restaurant managers, marketing teams) can leverage to improve decision-making

Stay at the forefront of AI and data science advancements, evaluating their potential applications to our business and presenting your findings to senior leadership

Oversee the entire data science lifecycle, from data collection and cleaning to model development, deployment, and performance monitoring on the Databricks platform

Develop and maintain a robust data infrastructure on AWS and Databricks to support our AI and data science initiatives

Qualification

Data ScienceMachine LearningDatabricksAI StrategyBig Data ToolsProgramming LanguagesData EngineeringExecutive CommunicationReal-time AnalyticsNLPTeam Leadership

Required

10+ years of hands-on experience in data science and machine learning

5+ years people leadership experience with the ability to hire, develop, and build high-performing teams

Proven experience with the Databricks platform for large-scale data engineering, analytics, and machine learning

Excellent executive communication skills with the ability to influence stakeholders at all levels

Experience with big data tools (e.g., Hadoop, Spark, Databricks) and data pipeline orchestration (e.g., Airflow, Kafka)

Proficiency in programming languages such as Python, R, Scala, or SQL

Expertise in developing and deploying machine learning models, including supervised and unsupervised learning, deep learning, and NLP

Strong understanding of data engineering principles, including ETL processes and database management

Familiarity with real-time analytics and edge computing for IoT applications in restaurants (e.g., smart kitchen equipment)

Master's degree or PhD in Computer Science, Applied Mathematics, Data Science, or related quantitative field desired, or bachelor's degree in quantitative disciplines (Science, Technology, Engineering, Mathematics)