04 feb
Citi
Xico
**Responsibilities**:
- Helps to define and ongoing management of target data architecture for risk information.
- Liaises with other Citi risk organizations to identify and maintain appropriate alignment, specifically with Citi Data Standards.
- Works in conjunction with information owners and technology partners to define and implement the roadmap.
- Prepares materials for Monthly Operating Reviews (MORs), Portfolio Reviews, Horizontal meetings, Town Halls and Staff Meetings.
- Performs analysis of DQ issues and deliver metrics reporting.
- Supports Managers with status reports and presentation content.
Guide data analysis and reporting processes that include collection from multiple sources,
validation of data and assembly and presentation of required data.
- Develops new data collection and evaluation methodologies, including format design, data compilation, relevancy and metrics.
**Qualifications**:
- 5-8 years Banking or Financial Services experience
- Experience in analyzing and defining risk management data structures and architecture
- Demonstrated influencing, facilitation and partnering skills
- Track record of interfacing with and presenting results to senior management
- Analytical, flexible, team-oriented and have good interpersonal/communication skills
**Education**:
- Bachelor's/University degree or equivalent experience
This job description provides a high-level review of the types of work performed.
Other job-related duties may be assigned as required.
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**
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**Responsibilities**:
- Lead the ongoing management of assigned supplier teams to meet Citi's data modeling goals, standards and guidelines.
- Leverage internal and external practices to collaborate with other internal Citi Data and Analytics areas to determine and maintain proper alignment with the organization's Standards and policies.
- Work together with information owners, Data Owners, Data Stewards and other technology areas to define work strategies and roadmaps.
- Establish and/or improve data architecture processes to oversee data modeling and information mapping activities to ensure alignment with all Data and Analytics products.
- Perform analysis de información,
data quality, issues and deliver metrics reporting.
- collection of multiple sources, validation of the required data.
- Analyze current processes and systems data models.
- Define management strategies for global and local business catalogs.
- Know and master the taxonomies used to define nomenclatures, standards, guidelines and/or documentation.
- Define and maintain common data definitions.
- Review and validate information catalogs and data attributes with data owners to ensure data integrity and reliability.
- Maintain data architecture and its ongoing alignment with Citi's Data Standards.
- Advise other technical leaders for the correct execution of the activities attached to local and global policies.
- Attend sessions with internal teams and to generate synergy in activities.
- Propose and define new standards and/or processes that help improve data architecture management.
- Identify risks in the BAU Data Architecture operations and minimize their impact by taking preventive actions.
- Advise the data modeling team to define the best modeling strategy (Data marts, Relational model, Data Mesh, etc).
- Help the team make the best decision when mapping and identifying data concepts vs UIM global standards.
- Follow up on metadata loading strategies and information loading automation.
- Help define the best mongoDB collection governance strategy.
- Help define the UIM/CEBO concept mapping automation strategy.
- Helping making decisions of the architecture patterns in the different technologies of the bank,
- Analyzing business operating process ,information and different types of requirements.
- Help define standards to standardize the nomenclature of ETL developments.
**Qualifications**:
- 5+ years Banking or Financial Services experience.
- 5+ years experience in analyzing and defining data structures and architecture.
- ** Demonstrated influencing, facilitation and partnering skills.
**:
- Track record of interfacing with and presenting results.
- ** Analytical, flexible, team-oriented and have good interpersonal/communicationskills.
**:
- ** Excellent domain in MS Word, Excel for analysis purposes.
**:
- 3+ years of consulting experience (client-facing) related to data integration/ETL and Data Warehousing implementation,
ideally with Ab Initio and Teradata.
- Knowledge of the Big Data ecosystem.
- ** Experience managing projects using Scrum framework.
**:
- ** Experience with data modeling tools for relational models (Erwin
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