Citi Group Finance Lineage Data Modeler - VP City 

United States, New Jersey, Jersey City 

484697346

Responsibilities:

• Trace lineage for client metrics across products and business lines

• Design and maintain blueprint of lineage record tracing, logical data models and data quality rule recommendations

• Develop conceptual, logical, and metadata solutions using JSON schema

• Define model and rationalize target state logical data models, socialize with key stakeholders and conduct walkthrough

• Unify data concepts across finance, product leads, credit risk, and applications across Citi

• Participate in requirement gathering sessions with business leads, operations, SMEs, technologists and governance teams

• Inventory lineage records to create end-to-end transparency and expose fragmented data functions for process simplification

• Must be passionate on working with Data and haveanalytical/problem-solvingskills

• 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

• Must have hands on experience in developing large complex data models and building complex IT systems

• Experience in CapitalMarkets/Banking/Retail/Researchdomains

• Financial Industry knowledge in commercial banking, capital and investment banking and markets is a plus

• Strong experience in relational modeling, UML modeling and metadata management tools

• Experience in Modeling and architecture tools such as Magic Draw, Erwin, Enterprise Architect is a plus.

• Expertise in Data Management methodologies involving architecture, modeling, storage, security

• Good understanding of data governance - defining strategy, developing goals, principles and policies

• Demonstrated influencing, facilitation and partnering skills

• Track record of interfacing with and presenting results to senior management

• Analytical, flexible, team-oriented and have goodinterpersonal/communicationskills

Education:

• Bachelor’s degree/University degree or equivalent experience

Anticipated Posting Close Date:

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