Data Technical Director

Company Description

Welcome to Generix, a leading provider of SaaS solutions that simplify and revolutionize global collaboration across the supply chain. We empower businesses worldwide to responsibly streamline the exchange of goods and data throughout the entire supply chain. Our innovative digital services platform optimizes physical flows by coordinating the entire process from production to delivery through our WMS, TMS, RMS, and VMI solutions. We also integrate logical and financial flows by connecting all players across the chain, from order to payment, using our e-invoicing, e-reporting, EDI, P2P, and O2C solutions. With nearly 850 employees, we support more than 4,500 companies in over 60 countries on a daily basis, including industry leaders such as Carrefour, Danone, FM Logistic, Fnac Darty, Essilor, and Ferrero.

Job Description

Purpose: This leadership role is responsible for defining the strategic technical vision and overseeing the design, implementation, and management of the organization's end-to-end data, analytics, and AI platform architecture. The role involves leading and mentoring a multidisciplinary team of engineers, analysts, and data scientists, ensuring the delivery of robust, scalable, secure, and innovative solutions that align with and drive business objectives.

Main activities:

• Define and communicate the technical roadmap and architectural vision for the company's data, analytics, and AI platforms.
• Lead the design and implementation of scalable, reliable, and secure system architectures leveraging cloud services and modern technologies.
• Manage, mentor, and develop a high-performing multidisciplinary team (data engineers, analytics engineers, BI developers, data scientists, DataOps).
• Oversee the planning, execution, and delivery of data, analytics, and AI projects, ensuring alignment with strategic goals and timelines.
• Establish and enforce best practices, standards, and governance for system design, data management, security, and operations (including DevOps/DataOps/MLOps principles within the team).
• Collaborate with senior leadership, product managers, and other stakeholders to understand business requirements and translate them into technical strategies and solutions.
• Manage team resources, budgets, and vendor relationships related to the data, analytics, and AI platforms.
• Stay abreast of emerging trends and technologies in data, analytics, AI, and cloud computing, driving innovation within the team and platform.
• Ensure solutions meet performance, scalability, and reliability requirements.
• Budget management for team, tools, and platform infrastructure.
• High strategic impact on the organization's ability to leverage data and AI for decision-making, operational efficiency, and competitive advantage. Shapes the core technology foundation for data-driven initiatives.

Qualifications

• Master's degree or equivalent experience in Computer Science, Engineering, or a related quantitative field.
• 10+ years of experience in data engineering, software architecture, or analytics, including significant hands-on experience with AI/ML projects.
• Minimum 3-5 years of experience in a leadership or management role, overseeing technical teams.
• Deep understanding and practical experience with cloud platforms (Azure and AWS), data warehousing, data lakehouse, big data technologies (e.g., Spark, Kafka), database systems (SQL/NoSQL), ML frameworks, and system integration patterns.
• Proven track record of designing and delivering complex, large-scale data and AI systems.

• Expertise in system architecture design principles (e.g., distributed systems, microservices, event-driven architecture).

• Deep knowledge of data modeling, data warehousing, data lakes, and ETL/ELT processes.

• Strong understanding of AI/ML concepts, algorithms, and deployment strategies.

• Proficiency in relevant programming languages (e.g., Python, Java, Scala).

• Extensive experience with cloud data services and infrastructure.

• Familiarity with DevOps, DataOps, and MLOps concepts and their application.

• Knowledge of data governance, security, and compliance best practices.

• Understanding of various analytics and business intelligence tools and techniques.

• English or French level: fluent

Additional Information

• Access to modern tools and technologies
• A chance to make a meaningful impact on enterprise product quality
• Opportunities for career growth and development
• Meal tickets;
• Medical services in a private clinic;
• Trainings;
• Flexible working hours.