Senior Manager, Data Engineering & Automation Solutions

Who We Are:
• Coca-Cola Beverages Florida, LLC (Coke Florida) is a family-owned independent Coca-Cola bottler that is the third largest privately-held and the sixth largest independent Coca-Cola bottler in the United States.
• Coke Florida sells, markets, manufactures and distributes over 600 products of The Coca-Cola Company and other partner companies including Monster Beverage Corporation and BODYARMOR.
• In 2025, for the 4th year in a row, Coke Florida was named as a US Best Managed Company by Deloitte Private and The Wall Street Journal. This program recognizes outstanding U.S. private companies and the achievements of their management teams in four key areas: strategy, ability to execute, corporate culture, and governance/financial performance.
What We Offer:
Eligible full time Coke Florida Associates can participate in our Total Rewards Program which includes:
• Total Wellness Programs including health, dental and vision plans
• 401K program with healthy company match
• Supplemental Life Insurance
• Three weeks of vacation pay, and 10 company paid holidays*
• Tuition reimbursement
• Employee Assistance Programs (EAP)
• Competitive compensation


Coke Florida is searching for a Senior Manager, Data Engineering & Automation Solutions based out of our Tampa HQ office, working Monday - Friday.

What You Will Do:
We are looking for a dynamic and strategic leader to head our Data Engineering and Intelligent Automation Solutions organization. This role will drive the design, development, and execution of intelligent automation, enterprise data platforms, and advanced analytics capabilities to support business transformation. You will be instrumental in 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.

Roles and Responsibilities:

Data Engineering & Architecture
• 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.
• Partner with enterprise architects and IT leadership to define and implement scalable data architecture aligned with business priorities and technology strategy.
• 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.

Data Science & Advanced Analytics
• 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.
• Collaborate with business units to incubate and scale data science use cases from POC to enterprise deployment.
• Promote a data-driven culture and develop reusable frameworks and assets for analytics acceleration.

Intelligent Automation
• Define and lead the enterprise-wide AI & intelligent automation strategy, aligned with our business objectives.
• Identify and prioritize automation opportunities in partnership with cross-functional leaders in supply chain, manufacturing, HR, finance, marketing, and technology.
• Oversee the design, deployment, and scaling of AI-driven automation solutions including RPA, cognitive automation, and natural language processing.
• Champion a culture of innovation, experimentation, and ethical AI adoption in collaboration with change management and communications teams.
• Establish automation governance, compliance, and security protocols suitable for the organization.

Leadership & Strategic Management
• Manage and mentor a multidisciplinary team of data engineers, data scientists, and automation specialists (internal and partner resources).
• Collaborate with cybersecurity, data governance, and IT infrastructure teams to ensure data and automation solutions are secure, compliant, and resilient.
• Present strategic recommendations, KPIs, and outcomes to executive leadership and key stakeholders.
• Track and communicate program metrics, ROI, and impact to business leaders.
• Stay abreast of emerging technologies, architecture trends, and industry best practices to maintain competitive advantage.

For This Role, You WIll Need:
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or r