Senior Director I, RGM Data Science & Engineering

you will lead a small, agile team recognized for delivering scalable data and AI solutions. This role blends strategic leadership with technical expertise-you will guide vision and priorities while remaining hands-on when needed to ensure successful execution.

What You'll Do for Us

Key Responsibilities:

1. Data Strategy & Engineering:

• Shape and evolve our data strategy, including architecture, and long-term roadmap.

• Oversee deployment and maintenance of production-grade data pipelines within Azure (Databricks, AzureML, Synapse).

• Manage partnerships with internal service teams to augment resources and capabilities.

2. Analytics Leadership:

• Serve as the primary expert in Data Science and Engineering, providing guidance on feasibility, resource allocation, and prioritization.

• Design and deploy scalable ML models that include forecasting and optimization

• Stay ahead of emerging AI trends and integrate them into our solutions.

3. Strategic Partnership & Business Alignment:

• Collaborate closely with the broader RGM team to identify pricing and promotion gaps and deliver analytical solutions that drive growth.

• Ensure team objectives align with business priorities and long-term strategy.

• Communicate complex technical concepts in a clear, consultative manner to senior business stakeholders.

4. Leadership & Talent Development:

• Inspire and develop a high-performing team, fostering a culture of innovation and continuous learning.

• Balance strategic vision with hands-on execution when needed.

What You'll Need

Qualifications:

Required:

• Proven experience leading production data pipeline deployment within Azure ecosystem.

• Deep expertise in machine learning and AI, with a track record of deploying models at scale.

• Strong consultative communication skills and ability to simplify complex concepts.

• Demonstrated ability to lead projects through both technical and business dimensions.

• Bachelor's degree in Data Science, Computer Science, or related technical discipline.

Preferred:

• Experience with large-scale optimization tools (e.g., Gurobi).

• Graduate degree in Data Science, Computer Science, or related technical discipline.

What We Can Do For You

• Iconic Brand: Work on the most recognized brand in the world and be part of developing the brands next chapter.
• Exposure to World Class Leaders: Availability to global marketing leaders that will expand your network and exposure you to emerging digital platforms and marketing insights.
• Learning Culture: Access to resources such as Coke University, LinkedIn Learning and management programs that give you the resources to continually develop your skills and knowledge.

**
Skills:
**Leadership; Data Research; Microsoft Azure; Machine Learning (ML); Predictive Analytics; PySpark; Python (Programming Language); Analytics; Data Analysis; Collaborating; Communication; Data Mining; Microsoft Power Business Intelligence (BI); Machine Learning

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.