The Global Product Integration Lead serves as the strategic and operational bridge between business priorities, enterprise platforms, and cross-functional delivery teams to ensure seamless integration of data, systems, and digital capabilities across the Coca-Cola ecosystem.
Responsibilities
Lead enterprise integration strategy and execution across global, OU, and bottler ecosystems
Act as the primary liaison between business stakeholders, architecture teams, product owners, and delivery teams
Drive integration planning, dependency management, and execution governance across multiple platforms, systems, and data domains
Define and implement integration standards, governance models, APIs, and best practices
Coordinate cross-functional delivery activities to ensure successful deployment, testing, cutover, and stabilization
Join Novartis Digital Finance and help build scalable, secure, cloud-native applications that bring Data Science, Machine Learning, and Artificial Intelligence into real-world use.
Compensation
Salary Range: €35,000.00 - €65,000.00
Responsibilities
Design and develop scalable, secure, high-performing Python applications and backend services.
Lead data science initiatives to solve complex business problems using AI, ML, and statistical methods.
Locations (2)
Ljubljana, Slovenia, Slovenia
Barcelona, Catalonia, Spain
Compensation
€67,130.00 - €124,670.00
Responsibilities
Transform the way complex business problems are solved through effective data management, Data Science, Artificial Intelligence, statistical methods and Machine Learning.
Translate complex analytical findings into clear recommendations for business users, using effective visualization and storytelling to influence strategic decisions, including with senior business leaders.
Establish effective approaches to managing data for analytical use and contribute to the development of Novartis data management and Data Science capabilities.
Coordinate and prioritise resources across critical initiatives, proactively managing changing requirements, stakeholder expectations, operational risks and competing priorities.
Associate Director, Data Science & Artificial Intelligence
Independent role driving the execution of BI and Reporting Automation tasks, designing scalable dashboards, building data infrastructure, and deploying AI-driven solutions for actionable insights.
Responsibilities
Identifies opportunities for process improvements in data gathering and analysis to enhance operational efficiency and increase data accuracy.
Facilitates the creation of intuitive data visualizations that effectively communicate insights to stakeholders.
Communicates data insights and findings to relevant teams, ensuring that actionable information is readily available for decision-making.
Manages the deployment of AI driven solutions to be used in gathering, analyzing, and visualizing data and generating innovative reports and dashboards.
Recommends automation solutions that streamline data processing workflows, with the goal reducing manual effort and decreasing potential for error.
Collaborate with internal stakeholders, cross-functional teams, external partners and institutions to solve critical business challenges and identify opportunities for operational efficiency and innovation.
Senior Director, Global Product Integrations EuropeThe Coca-Cola Company · Dublin, Ireland
Enterprise Data Operations Sr AnalystPepsiCo · New Cairo, Egypt