Data Manager

il y a 5 jours


Luxembourg AUBAY S.A. Temps plein

We are seeking a highly skilled Consultant to join one of our client (a bank).

**Responsibilities**:

- Develop a robust IT specification framework for data flows, from acquisition to dissemination and reference data management.
- Collaborate closely with business teams to understand their processes and requirements.
- Collaborate closely with IT teams to understand the information system architecture and their constraints.
- Coach business team members in the effective use of FMR, with an emphasis on clarity and consistency.
- Define the scope of the FMR tool usage, the scope of the acquisition and dissemination process and the scope of reference data management
- Ensure that the specifications produced are understandable and usable by the IT and business teams.
- Ensure that the analyses produced are compatible with Agile methodologies and enable iterative and incremental delivery.

**Required Skills and Competencies**:

- Proven experience in reference data management and statistical data systems.
- Strong knowledge of the SDMX protocol and Fusion Metadata Registry.
- Excellent problem-solving skills and the ability to manage complex projects.
- Effective communication and collaboration skills.
- Demonstrated ability to engage both developers and business partners to achieve target outcomes.
- Mastery of Agile methodologies and ability to integrate them into the specification process.
- In-depth knowledge of data flows, from acquisition to dissemination.
- In-depth knowledge of reference data management.
- Exceptional coaching and communication skills to work effectively with business and IT teams.
- Ability to translate business needs into clear and concise functional/technical specifications.
- Ability to take into account the IT architecture and constraints.

**Qualifications**
- Bachelor’s degree (or equivalent years of experience).
- 5 years of experience in reference data.
- 2 years of experience in FMR implementation.
- Professional certification in agile methodologies is preferred.



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