Coca-Cola HBC
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.
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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.
#J-18808-Ljbffr