Responsibilities:
Identify data and information needs for wholesale lending business of ICG
Develop architecture, strategy, planning, and problem-solving solutions on an enterprise level
Design and maintain blueprint of the information architecture, data integrations and controls aligned to the renewed business strategy
Develop conceptual, logical, physical models and metadata solutions
Define model and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough
Unify data concepts across disparate front office, credit risk, servicing and reporting functions of ICG
Determine database structural requirements by analyzing client operations, applications and data from existing systems
Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists and governance teams
Collaborate with Enterprise, Sector and Federated architecture team and adopt recommendations
Incorporate data standards and implement governance model
Develop data flows, ownership matrixes and data lineage
Implemented physical data model, contribute to the system and operational design, carry out optimization for usability and performance
Provide leadership and guidance to junior team members
Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
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.
Qualifications:
6+ years hand-on experience in Data Architecture, Data Science and/or Data Modeling expertise
Financial industry knowledge in risk management, wholesale lending, servicing and risk/regulatory reporting
Product knowledge in commercial banking, capital and investment banking and markets
Extensive experience inrelational/hierarchical/OLTP/OLAP/BigData concepts
Must have hands-on relational modeling, UML modeling and metadata management tools
Good knowledge of modeling and architecture tools such as Magic Draw, Erwin, Enterprise Architect et.
Experience in modeling and building complex IT systems
Expertise in Data Management methodologies involving architecture, modeling, storage, security
Good understanding of data governance - defining strategy, developing goals, principles and policies
Prior experience in data integration, interoperability and data quality solutions
Analytical and problem solver, excellent verbal, written and presentation skills
Excellent influencing, meeting organization, and facilitation skill
Education:
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
Certification in Data Architecture / Modeling is a plus
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Data Architecture
Time Type:
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