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We are seeking a skilled Technical Leading Analyst specializing in Reference Data Management to analyze, design, develop and implement an enterprise-wide Reference Data solution. You will play a critical role in driving the technical direction, ensuring alignment with business needs, as well as managing a group of external consultants/developers to deliver the solution.
Job Responsibility:
Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows
Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function
Assumes informal/formal leadership role through coaching and training of new recruits
Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others
impacts own team and closely related work teams
Considers the business implications of the application of technology to the current business environment
identifies and communicates risks and impacts
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the selection, design and implementation of the Enterprise Reference Data tool for the Bank
Integrate RDM (Reference Data Management) solution with the enterprise systems in order to manage and redistribute the Reference Data Catalogues, either by batch process or APIs processes
Lead the analysis to identify existent Reference Data catalogues, which systems consumes them and curate them
Collaborate with cross functional technical areas, such as architecture, security, production support, infrastructure, procurement to agree the appropriate solution the covers the aspects needed to deliver this solution to production
Collaborate with business areas to translate Reference Data Governance requirements to tool functionality.
Requirements:
5-8 years experience on Reference Data, Master Data and Data integration solutions
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Experience implementing Reference Data solutions from vendor such as Informatica, IBM, Ataccama
Experience on implementing a SaaS solution in a Bank, as well as cloud platforms such as AWS
Proficiency in data modeling, data integration and API development
Solid understanding of database technologies
Deep understanding of Reference Data concepts, terminology, lifecycle and the governance processes.
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