Group IT Data Director

Job Description

RESPONSIBILITIES

1. Data Strategy and Architecture

• Define and evolve the Group’s Data Strategy in collaboration with the Chief Data Officer (CDO), if one exists, or directly with Executive Management and Business Lines.
• Design and maintain the target data architecture (modeling, flows, storage) to support the Group’s analytical and operational needs.
• Lead the selection, implementation, and management of Data Technology Platforms (Cloud Data Warehousing, Data Lake, ETL/ELT tools, MLOps solutions).
• Ensure the consistency of data models across all Group entities and systems.

2. Technical Data Governance and Quality

• Establish and enforce technical data quality standards (profiling, cleansing, monitoring) to ensure the reliability of information.
• Implement the tools and processes for technical data governance (data dictionary, data lineage, metadata management).
• Collaborate closely with IT Security teams to guarantee the confidentiality and protection of sensitive data and regulatory compliance.
• Oversee Master Data Management (MDM), ensuring a Single Source of Truth for critical data assets.

3. Data Platform Delivery and Operations

• Oversee the operation and Maintenance in Operational Condition (MOC/Run) of the Data environment, ensuring its performance and availability.
• Lead Data Engineering teams to build and maintain robust, efficient, and scalable data pipelines.
• Manage the portfolio of Data projects (Cloud migration, BI tool deployment, setting up Data Labs) within budget and timeline constraints.
• Support Analytics and Data Science teams in accessing and utilizing data for model creation and reporting.

4. Leadership and Team Management

• Manage and develop the technical Data teams (Data Architects, Data Engineers, Data Modelers).
• Cultivate a data-driven culture and technical excellence within the organization.
• Manage relationships with key Data Technology partners (software vendors, Cloud service providers).

REQUIREMENTS

• Master’s degree (or equivalent, e.g., Engineering School) in Computer Science, Data Science, or a related field.
• Minimum 10 to 12 years of experience in IT and Data, including at least 5 years in a Data leadership role (Chief Architect, Head of Data Engineering) at a large, Group-level organization.
• Proven expertise in Data Distributed Systems Architecture (e.g., Hadoop, Spark, Kafka).
• Mastery of Cloud Data Warehousing solutions (e.g., Snowflake, Databricks,Google BigQuery, AWS Redshift, …).
• Strong knowledge of Data Governance, MDM, and Data Quality concepts.
• Significant experience in Data Modeling (Data Vault, Inmon, Kimball).
• Already fluent with GEN AI, Agentic AI, Machine Learning (ML) implications and Data Science infrastructure.
• Strategic Vision and the ability to translate complex business needs into data architecture solutions.
• Technical Leadership and strong managerial skills.
• Excellent communicator, capable of convincing Executive Management and motivating technical teams.
• Methodological Rigor and quality orientation.
• Ability to thrive in an international and matrix organizational environment
• Fluent technical English is mandatory. Spanish and French nice to have.

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