Senior Director, Head of Data
As the Senior Director, Head of Data, you will drive Coca-Cola’s data strategy and architecture for its global fleet of connected equipment, enabling actionable insights through advanced analytics and real-time data capture. You’ll transform beverage equipment into a strategic network of insights, unlocking new levels of operational efficiency, predictive capabilities, and market visibility. This role is ideal for data-driven leaders with expertise in leveraging data as a strategic asset to catalyze AI-driven solutions and reduce operating expenses.
What You’ll Do for Us
Breakdown of Responsibilities
- 40% Data Strategy Leadership: Build and implement a comprehensive data architecture and analytics strategy to capture and leverage real-time data insights.
- 30% AI & Analytics Deployment: Develop AI-driven predictive models and data solutions that enhance operational efficiencies and market dynamics.
- 20% Stakeholder Collaboration: Engage with senior stakeholders (OUs and Bottlers) to align data-driven insights with Coca-Cola’s strategic goals.
- 10% Innovation & Industry Trends: Stay at the forefront of data engineering and analytics innovation, ensuring Coca-Cola leverages top industry trends.
Key Responsibilities
- Lead the development of Coca-Cola’s data strategy, capturing real-time insights from over 17MM+ equipment devices globally.
- Enable advanced analytics and AI-driven solutions that enhance operational efficiency and reduce operating expenses.
- Collaborate with cross-functional teams to create data pipelines and architectures for superior data quality and accessibility.
- Foster innovation by incorporating leading technology trends in data science, IoT insights, and predictive analytics.
People Responsibilitiesh3>
This role provides leadership to a team of data analysts, data engineers, and data scientists, totaling 6 direct reports. Additionally, it offers dotted-line leadership to a Data Product Owner, enabling seamless collaboration across engineering and analytics teams.
Qualifications & Requirements
The ideal candidate holds an advanced degree in data science, computer engineering, or related fields, with 12+ years of experience leading large-scale data and analytics strategies. Deep expertise in AI technologies, data architecture, and IoT systems is essential. Additional qualifications include:
- Proven experience in building and scaling real-time data strategies at enterprise levels.
- Technical expertise in AI-driven analytics, IoT data capture systems, and cloud-based data storage solutions.
- Strong leadership skills for fostering cross-functional collaboration and team alignment.
- Ability to engage and influence senior stakeholders to champion data-driven decision-making.
- Experience with innovation in analytics and staying ahead of industry trends.
What We Can Do for You
- Iconic & Innovative Brands: Work alongside globally loved brands like Coca-Cola, Fairlife, and Topo Chico.
- Data-Driven Innovation: Lead groundbreaking data strategies that redefine beverage experiences.
- Collaborative Team Environment: Join a team passionate about leveraging technology for scalable results.