Data Modeller
1 tydzień temu
B2B / hybrid from Kraków /
Data Modeller
About the TeamThe CIB Data & Analytics IT team is responsible for defining data management architecture principles and best practices across the CIB IT landscape, as well as delivering core data services to support business needs. The team develops high-quality, enterprise-grade software in a dynamic and challenging environment.
Purpose of the RoleThe Data Modeller will act as a key advisor in data management, supporting project teams and the architecture community. The role involves creating various data models, providing best-practice guidance, and contributing to strategic data design. Collaboration with data architects, system architects, and CDAO teams is central to the position.
Key ResponsibilitiesRapidly understand business requirements through close interaction with the CIB CDO, business stakeholders and subject matter experts
Translate business requirements into conceptual, logical and semantic data models, as well as solution designs and functional specifications
Communicate data models and functional solutions to business stakeholders and development teams, providing ongoing support where needed
Promote data modelling standards, techniques and best practices
Contribute to project and system data architecture definitions, ensuring alignment with Group standards
Collaborate with the CIB CDAO to ensure models support trusted source identification, data ownership and the creation of scalable, reusable data assets
Operating in a fast-paced environment where innovative, high-quality solutions are required quickly
Working effectively with globally distributed teams, requiring excellent communication skills and strong collaboration
Mandatory Skills
Proven experience in logical data modelling and adherence to governance standards
Strong conceptual and logical thinking skills, with the ability to abstract information and see the bigger picture
Experience designing enterprise-level logical models and applying abstraction techniques
Knowledge of industry models/standards such as BIAN, FSDM, BDW
Ability to balance analytical depth with delivery momentum, demonstrating continual value from the modelling process
Strong analytical skills with the ability to challenge designs and decisions
Ability to resolve complex issues using structured problem-solving techniques
Ability to quickly understand complex data landscapes and apply analysis in new contexts
Strong relationship-building skills, motivation and a collaborative mindset
Excellent written and verbal communication skills, including virtual communication (calls, video conferences)
Strong leadership and presentation skills, with the ability to obtain agreement from diverse audiences
Strong planning, organisational and time management skills; ability to work to deadlines
Commercial awareness and ability to apply it to data requirements
A continuous improvement mindset and understanding of change implementation mechanisms
High self-awareness and confidence to work independently
Experience in Financial Services, particularly within data-related domains (Data Management, Data Architecture, Data Governance)
Knowledge of data management tools and techniques
Working knowledge of data modelling tools (e.g., Visual Paradigm, IBM Infosphere Data Architect, CA Erwin; familiarity with Collibra or Informatica is a plus)
Experience gathering, documenting and validating data requirements in large organisations
Experience working in large, complex, geographically distributed projects (including cross-time-zone collaboration)
Experience as a data analyst, solutions analyst or data architect—especially in producing data artefacts such as data models, data flow diagrams or metadata
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