Coke Florida is looking to drive business transformation by leveraging AI, machine learning, data architecture, and robotic process automation (RPA) to streamline operations, enhance decision-making, and unlock value across commercial, supply chain, manufacturing, sales, and corporate functions.
Requirements
- Strong experience with cloud data platforms (e.g., Azure), data lakehouse architectures, and big data processing frameworks.
- Proficiency in RPA platforms (e.g., UiPath), AI/ML tools (e.g., Python, Azure ML), and data pipeline technologies.
- Knowledge of data privacy regulations (GDPR, HIPAA) and experience with data governance frameworks.
- Experience with data engineering, AI/ML, or intelligent automation
- Familiarity with CPG industry trends and enterprise-scale digital transformation
- Experience managing vendors, consultants, and cross-functional project teams
- Strong proficiency in data architecture and data engineering
Responsibilities
- Lead the design, implementation, and scaling of modern data platforms (cloud-based data lakes, data warehouses) to support analytics, automation, and AI initiatives.
- Establish and govern robust data pipelines (ETL/ELT) and data integration strategies that ensure high-quality, timely, and reliable data across enterprise systems.
- Define and enforce best practices for data engineering, architecture, and operations including data modeling, metadata management, and performance optimization.
- Drive data governance, data quality, and master data management in partnership with data stewards and compliance teams.
- Drive the translation of complex business challenges into analytical problems and deliver actionable insights across domains such as demand forecasting, pricing optimization, customer segmentation, and operational efficiency.
- Oversee the design, deployment, and scaling of AI-driven automation solutions including RPA, cognitive automation, and natural language processing.
- Establish automation governance, compliance, and security protocols suitable for the organization.
Other
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
- 8+ years of experience in data engineering, AI/ML, or intelligent automation, with at least 4 years in a leadership capacity.
- Strong strategic planning, stakeholder engagement, and communication skills.
- Ability to perform the essential functions of the position satisfactorily
- Ability to work with cross-functional teams and stakeholders
