Senior Data Modeler

Department: Data Insights & Artificial Intelligence, Digital & Technology Platform Services

We are seeking a visionary Senior Data Modeler to architect the backbone of our next-generation AI ecosystem. In this role, you will move beyond legacy ETL patterns to build a Hub-and-Spoke data architecture that prioritizes interoperability and "AI-readiness." The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP, CRM, PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases.

YOUR NEW KEY RESPONSIBILITIES:

• Architecture & Design (Hub-and-Spoke)
• Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes.
• Establish "Golden Records" within the Hub to ensure a single version of truth for master data (Customer, Product, Asset).
• Standardize "Spoke" delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption. Design data structures for event-based, streaming integration patterns including structured and unstructured data.
• Semantic Intelligence & Ontology
• Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms.
• Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning.
• Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools.
• Data Cataloguing & Discovery
• Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview).
• Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership.
• Tag data with semantic descriptors to enable AI-driven "natural language to SQL" capabilities.
• AI Readiness & Governance
• Structure data to support feature stores and vector databases.
• Collaborate with Data Engineers to ensure "Data-as-a-Product" delivery standards.
• Enforce strict interoperable data modeling standards that prioritize data quality, privacy, and auditability.
• Lead Community of Practice for Data Modelling and drive continuous improvement.

ARE THESE YOUR SECRET INGREDIENTS?

• BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline.
• 2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management.
• Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling.
• Experience with automated metadata management and line9age tools.
• Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher.
• Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management. Understanding of how structured data feeds into Vector DBs and LLM contexts.
• Systems Thinking: Ability to see the "Big Picture" and how one change impacts the entire network.
• A definite advantage would be a passion for naming conventions and definitions—if the AI doesn't understand the column name, neither will the user.
• Acting as the bridge between the "Data Producers" (Engineers) and "Data Consumers" (Data Scientists).
• Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems.
• Exposure to tools such as Databricks, Snowflake, Fabric, DBT, Looker, AtScale, Cube, Lakehouse, DeltaLake, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, Kafka or equivalent streaming technology.
• Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
• Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions. Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.

ABOUT YOUR NEW TEAM:

We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.

We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.

We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don’t have the perfect experience. We have faith in what every person can be.

AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE

At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.