Director of Data & AI

Director of Data & AI

Join to apply for the Director of Data & AI role at Refresco
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Make a Difference in YOUR Career! Our vision is simple and ambitious: to put our drinks on every table. Refresco is a leading global independent beverage solutions provider serving a broad range of national and international retailers as well as GNE brands. We distribute products worldwide from our production sites in Europe, North America, and Australia. Though we may not always brand the drinks, you may be sipping one of ours right now.

Our ambition is to continually improve and maintain our top position through innovative, solution-based approaches and a team of passionate people. Join us and help put our drinks on every table.

The Director of Data & AI is a leadership role focused on leveraging data, analytics, and AI to drive business value, foster a data‑driven culture, and ensure effective governance and utilization of data assets and ecosystems across the organization. The Director will create and manage the data, analytics, and AI strategy and operating model, build trust around data, evolve technology capabilities, and develop talent and culture.

The Director leads multidisciplinary teams of data architects, engineers, and scientists and partners with business process experts and business leaders.

• Defines data, analytics and AI strategy, including vision, drivers and outcomes.
• Institutes an operating model for data, analytics and AI that is consistent with the capabilities and competencies required to execute the strategy. The operating model includes the ecosystem, architectures and delivery model.
• Builds partnerships with leadership to ensure that data is being managed as a business asset, data is AI-ready, and by tracking and measuring the value derived from those data assets. Communicates the tangible business value generated from data, analytics and AI initiatives to stakeholders and executives.
• Leads data-driven innovation for the enterprise, including investigation, adoption and exploitation of artificial intelligence. Identifies new kinds, types and sources of data to enable business value innovation throughout the organization and enable new use cases. Monitors emerging skills and technologies, focusing on accelerating business innovation and transformation.
• Maintains authority and accountability for the data assets, the analytics used for decision making, and AI solutions that automate decisions and augment human performance. Creates and oversees a centralized data management/data engineering service for sharing certified data products to ensure quality, traceability, timeliness, usability and cost-effectiveness.
• Oversees delivery models, methods and practices for creation of data, analytics and AI products and to ensure consistent application and use of data and analytics solutions and services, including data science.
• Evolves technology capabilities for the D&AI platform, in collaboration with the different IT functions, to align D&AI initiatives with IT infrastructure and policies, and drive technology innovation across the organization.
• Establishes and maintains trust in AI-ready data assets by instituting governance mechanisms for data including fostering data stewardship across business data domains. Includes other leaders that share responsibility for data, such as security, privacy, risk and compliance leaders.
• Understands regulatory requirements, relevant data protection laws and regulations such as GDPR, EU AI Act and CCPA, and industry-specific standards. Ensures the organization’s data practices are compliant, in collaboration with legal and compliance.
• Oversees the ethical and responsible use of data and algorithms used for artificial intelligence, analytics and automated decision making. Establishes guidelines and practices that prevent misuse of data and protect individual privacy beyond regulatory and compliance requirements.

• Bachelor’s or master’s degree in business administration; science technology, engineering and mathematics (STEM); computer science; data science; information systems or related field.
• Experience in…