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Financial Data Business Architect Lead

Responsibilities:

Focuses on bank-wide data modeling and database design (Conceptual, Logical and Physical Design) using traditional and advanced data approaches.
Defines data/information architecture standards, structure, attributes, and nomenclature of data elements, and applies accepted data content standards to technology projects.
Advises on consistent business analysis, data acquisition, and access analysis and design, Data Management Systems optimization, load strategy design, and implementation, as well as data-related security and change management
Collaborates with Engineering and ETL teams on the data model, its maintenance and optimization as well as end-to-end data-driven integration strategy.
Develops metadata management and repository strategy to manage all enterprise information architecture project artifacts.
Collaborates with Product and Enterprise Data Teams
Ensure the to-be model is inclusive of integration of data across systems, collection, storage, processing, management, governance, and analysis of data

Basic Qualifications:

10-15+ years of experience as conceptual data architect or other senior data management role. Experience using architecture repository tools.
Knowledge of conceptual data design patterns, data modeling, service-oriented integration, business intelligence domains. Data Warehouse design concepts, data warehouse reference models, ETL tools.
SME on bank's Reporting, Capital Adequacy, GL Posting, Liq Monitoring & Reporting, Stress Testing/Business Planning, FRY-9C, FRY-14 A/Q/M, FR 2052a, Ledger Rep(10Q/10K), and/or RWA Aggregation.
Great experience for GCB Deposits, Loan, and others along with the product associated Adjustment Reduction.
Experience with the banking systems and applications transactional and warehouse systems.
Hands-on experience with conceptual data architecture, taxonomy, and MDM tools master data management solutions with 1 or more of the following e.g. Informatica, Teradata, DataStage, Microstrategy, Cognos, etc
Experience with Data Governance, Data Quality, Data Management Tools
Relational and Non-relational Data Warehouses (SQL, Oracle, NoSQL, MongoDB, Cassandra) and Big Data Technologies. Distributed technologies and Internal cloud technologies like Open shift, PCF, Big Data platforms like Hadoop, demonstrated an understanding of Data Analytics.
Familiar with one of the following modeling tools (e.g. ER/Win, Power Designer, ERStudio),

Other Professional Skill Requirements:

BA/BS Degree in science major such as Computer Science with MBA or FE is a big plus
Previous Big 4 Consulting experience &/or hedge funds &/or Leading Bank
Python, VBA, SQL experience for GRC tool and reporting
Other regulatory requirements BASEL accord (BCBS 239, CCAR, DFS504, DFS500, GDPR...)