Senior Data Modeling Specialist
il y a 17 heures
**Data Framework Development**:
- Develop and maintain a centralized repository for all organizational data models, serving as a key reference for ongoing and future projects.
**Strategic Alignment and Execution**:
- Ensure all data modeling activities are in sync with the company’s data strategy and aligned with evolving business priorities.
- Promote consistency across various data layers and advocate for standardized data management practices.
**Stakeholder Engagement**:
- Partner with internal teams, including business leaders, governance specialists, architects, and developers, to understand and address requirements effectively.
- Facilitate collaborative workshops to ensure stakeholder alignment on data initiatives.
**Knowledge Transfer and Documentation**:
Create detailed documentation and conduct training sessions to support the adoption of the data modeling framework across the organization.**Technical Collaboration**:
- Work closely with architects and business intelligence teams to integrate data models and improve workflows.
- Provide expert guidance to IT teams for designing logical and physical models aligned with business needs.
**Requirements**:
**Technical Skills**:
- Extensive experience in designing and managing large-scale data models across diverse systems.
- Strong command of SQL and in-depth knowledge of foundational data modeling methodologies.
- Familiarity with advanced data management tools and practices; technical expertise is advantageous.
**Banking and Financial Industry Knowledge**:
- Comprehensive understanding of data workflows and regulatory frameworks in the banking sector.
**Soft Skills**:
- Outstanding communication abilities to bridge gaps between technical and non-technical teams.
- Experience in leading collaborative workshops and fostering teamwork.
- A solution-driven approach with strong analytical and problem-solving capabilities.
**Educational and Professional Requirements**:
- _Academic Background_: Bachelor’s or Master’s degree in Computer Science, Information Systems, or related disciplines.
- _Experience_: At least 5 years of experience in IT architecture, enterprise architecture, or similar roles.
- _Certifications_: Relevant certifications in data modeling or architecture frameworks are preferred.
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