Citi Group Data Operational Reporting Lead SVP-Jersey City/Tampa 

United States, New Jersey 

890549680

Responsibilities:

• The position will be responsible for re-engineering the data flows from the Securities services - Custody product processor and other data platforms for build best in class operational and regulatory reporting platform.
• Drive the data architecture and roadmap for eliminating non-strategic point to point connections and batch handoffs.
• Define canonical data models for key entities and events related to securities trade settlement and corporate actions processing in line with the data standards.Assess opportunities tosimplify/rationalize/refactorthe existing database schemas paving way for modularization of the existing stack.
• Design an Operational Data Store for intra-day and end-of-day reporting.
• Design self-service reporting capabilities for Operations, using latest tools and technologies.
• Formulate efficient approach to rationalize thousands of reports and standardize data attributes and optimize for performance and scalability.
• Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team Build and nurture a strong engineering organization to deliver value to clients.
• Influence and negotiate with senior leaders across functions, as well as communicate with all stakeholders as necessary.

Qualifications

• Significant experience in operational reporting, data modeling, data lineage analysis preferably in a global organization
• Proven architecture experience in building horizontally scalable, highly available, highly resilient data distribution platforms
• Proficient in message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Extensive experience with Data Integration and data streaming patternsPreferredExperience/Familiaritywith one or more of these toolsRelational SQL, NoSQL, and Cloud Native databases – MS SQL Server, SnowflakeExperience with data pipeline and orchestration.
• Experience with AWS cloud services - Aurora, RDS, Redshift
• Experience with messaging and stream-processing – IBM MQ, Kafka
• Experience with ETL tools - Talend, Ab Initio
• Experience with DataAnalytics/visualizationtools – PowerBI, Tableau
• 8-10+ years relevant industry experience, 5+ years of data modeling experience

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

Anticipated Posting Close Date:

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