Director of Data & AI

Our vision is both simple and ambitious: to put our drinks on every table.

We are the leading global independent beverage solutions provider. We serve a broad range of national and international retailers as well as Global, National and Emerging (GNE) brands. Our products are distributed worldwide from our production sites in Europe, North America, and Australia. Although our own branding may not appear on the labels of the beverages we produce, there is a good chance you are reading this while sipping one of our drinks.

Our ambition is to continually improve and it’s what keeps us at the top of our game. We are solutions‑based. We are innovative. We seek out new challenges and conquer them. This is our company ethos, but it’s our people’s too:
Refresco is at the cutting edge of a fast‑moving industry because we have passionate people pushing the boundaries of what’s best.

Stop and think: how would YOU 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 the effective governance and utilization of data assets and ecosystem across the organization. This includes the creation and management of data, analytics and Artificial Intelligence strategy and operating model. The Director of Data & AI is responsible for establishing, leading and operating the D&AI function;

building trust and managing data; evolving technology capabilities and developing talent and D&AI culture. The Director of Data & AI leads multidisciplinary teams of data architects, data engineers and data scientists, and partners with business processes subject matter 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.
• Lead data‑driven innovation for the enterprise, including investigation, adoption and exploitation of artificial intelligence. Identifying new kinds, types and sources of data to enable business value innovation throughout the organization and enable new use cases. Monitor for emerging skills and technologies, focusing on accelerating business innovation and transformation.
• Maintains authority and accountability for the data assets, and of 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…