Enterprise Data Architect - Modeling & Analysis

• 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

• 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 in relational/hierarchical/OLTP/OLAP/Big Data 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

Certification in Data Architecture / Modeling is a plus