Data & AI Solution Architect, Manager

About the Role
GREENFEED operates an integrated Feed - Farm - Food - Logistics value chain and is accelerating its Data & AI transformation across the Group. We are looking for a Data & AI Solution Architect to design secure, scalable, and practical solutions across enterprise data platforms, analytics, AI/ML, Generative AI, and AI Agents.
This role will play an important part in shaping how Data & AI capabilities are architected, integrated, and scaled across the Group, working on real-world business challenges spanning manufacturing, agriculture, supply chain, finance, and corporate functions.
What You Will Do
Design end-to-end Data & AI solutions for data platforms, data warehouses, BI & analytics, AI/ML, Generative AI, enterprise search, RAG and AI Agent use cases.
Translate business requirements into solution architecture including key components, data flows, integrations, security controls and non-functional requirements.
Shape data platform and analytics architecture covering ingestion, transformation, data models, semantic layers, data serving, reporting, self-service analytics and advanced analytics.
Define secure AI architecture including controlled access to enterprise data and APIs, model access, AI gateways, authentication, logging, monitoring, guardrails and data protection.
Design integration patterns across ERP, operational systems, IoT/OT platforms and enterprise applications using APIs, events, batch processing or integration platforms, while minimizing point-to-point integration.
Embed security and governance by design working with Cybersecurity and Technology GRC on IAM, encryption, data masking, privacy, audit logging and access control.
Review vendor solutions and technical proposals identify architecture gaps, dependencies, risks and trade-offs, and ensure alignment with enterprise standards.
Support delivery through implementation working with Data Engineers, Data Analysts, AI Engineers, application teams and vendors to validate designs, resolve architectural issues and move PoCs/MVPs into stable production solutions.
What We Are Looking For
Bachelor's degree or above in Information Technology, Computer Science, Data Engineering, Software Engineering or a related field.
Approximately 7+ years of technology experience, including hands-on solution architecture experience across Data, Analytics, Cloud or AI.
Practical experience with cloud data platforms, data lakes/data warehouses, SQL, ETL/ELT, data pipelines, BI/semantic models, APIs/system integration and cloud architecture.
Good understanding of security, IAM, data governance, data privacy, availability, scalability and observability.
Strong systems thinking and the ability to evaluate architecture trade-offs based on business value, delivery speed, cost, scalability and operational practicality.
Ability to communicate architecture and technical decisions clearly to both business stakeholders and technical teams.
A hands-on mindset: able to go beyond architecture diagrams and work with delivery teams to turn designs into working solutions.