Senior Manager, Data Engineering & Automation Solutions

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 related field.

• 8+ years of experience in data engineering, AI/ML, or intelligent automation, with at least 4 years in a leadership capacity.
• 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.
• Proven ability to integrate automation and analytics within commercial, supply chain, manufacturing, HR, and finance operations.
• Strong strategic planning, stakeholder engagement, and communication skills.
• Knowledge of data privacy regulations (GDPR, HIPAA) and experience with data governance frameworks.
• Experience managing vendors, consultants, and cross-functional project teams.
• Familiarity with CPG industry trends and enterprise-scale digital transformation is a plus.

This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. Coke Florida reserves the right to revise the job description at any time and to assign additional duties and responsibilities as needed.

Employment with Coke Florida is at-will. The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions of their job, absent undue hardship.

Coca-Cola Beverages Florida is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.