Data Manager
hace 6 días
**Job Reference**:
- 360_25_OP_DM
**Position**:
- Data Manager - Definition of data procedures for AI
**Closing Date**:
- Thursday, 31 July, 2025
**Reference**: 360_25_OP_DM
**Job title**: Data Manager - Definition of data procedures for AI
**About BSC**
- The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
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We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
**Context And Mission**
**Key Duties**
- Design the data procedures for BSC AI Factory:
- Develop procedures for classifying, validating, and storing raw data to be consumed by AI processes, in the context of the work for the AI Factory.
- Collaborate with data engineers to design scalable and sustainable data processes.
- Ensure data quality and integrity evaluations are available at the point of ingestion and for publication.
- Establish Data Processing Frameworks:
- Create standardized processes for transforming and cleaning data.
- Work closely with AI/ML teams to integrate their requirements into processing workflows.
- Monitor and optimize data processing tasks to improve efficiency and reduce latency.
- Define Data Publication Processes:
- Design methods for publishing processed data to internal and external stakeholders.
- Ensure published datasets are well-documented, accessible, and compliant with regulations.
- Develop mechanisms for versioning and tracking changes in published data.
- Ensure Compliance and Governance:
- Design the implementation of the data governance policies of BSC, that align with GDPR and other European regulations.
- Design the management of data access controls to ensure confidentiality and security.
- Plan the terms of regular audits and reviews of data management processes.
- Coordinate Cross-Functional Teams:
- Work closely with infrastructure engineers, AI/ML scientists, researchers, legals, project managers and business stakeholders.
- Facilitate communication between technical teams and non-technical users.
- Provide guidance on best practices for data usage and management.
- Optimize and Innovate
- Explore the adoption of new technologies and tools to enhance efficiency and scalability of data management.
**Requirements**:
- Education
- Bachelor’s degree in a STEM field.
- Master’s degree in data management, project management or related field is preferred
- Essential Knowledge and Professional Experience
- Deep understanding of the entire data lifecycle, from ingestion to publication, and of the FAIR principles.
- Proven track record in designing and implementing data ingestion, processing, and data publication procedures
- Strong knowledge of European data governance frameworks and regulations, for example GDPR, AI Act...
- Minimum of 3-5 years of experience in managing data processes and stakeholders
- Familiarity with pipelines, data lakes, data spaces, data warehousing, federated learning in AI, and trusted research environment concepts.
- Additional Knowledge and Professional Experience
- Experience working in a collaborative environment with cross-functional teams (data engineers, AI/ML scientists, etc.).
- Experience in project management
- Knowledge of SQL and/or Python for data processing and analysis.
- Experience working directly with researchers in a scientific setting is a plus.
- Experience using AI and automated processes to improve data management is a plus.
- Competences
- Analytical Thinking: Ability to analyze complex data flows and identify optimization opportunities.
- Communication Skills: Excellent verbal and written communication skills to interact with both technical and non-technical, research and business stakeholders.
- Problem-Solving: Strong problem-solving abilities to address challenges in data management for AI.
- Attention to Detail: Meticulous attention to detail to ensure accuracy and compliance.
**Conditions**
- The position will be located at BSC within the Operations Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours
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