Data Architecture Sr Analyst

**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 experienceThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**Excited to grow your career?**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to applyOur people make all the difference in our success.**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