Data Technical Director
Data Technical Director
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Salary Not Disclosed
1 Vacancy
Job Description
Purpose: This leadership role is responsible for defining the strategic technical vision and overseeing the design implementation and management of the organizations endtoend 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 companys 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 highperforming multidisciplinary team (data engineers analytics engineers BI developers data scientists DataOps).
- Oversee the planning 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 organizations ability to leverage data and AI for decisionmaking operational efficiency and competitive advantage. Shapes the core technology foundation for datadriven initiatives.
Qualifications :
- Masters 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 handson experience with AI/ML projects.
- Minimum 35 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 largescale data and AI systems.
Expertise in system architecture design principles (e.g. distributed systems microservices eventdriven 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
