Corporate Technology & Risk (CTR) delivers streamlined and consistent solutions supporting JPMorgan Chase’s Controls, Compliance, Legal, HR and IT Risk agendas, with a focus on stability, delivery, efficiencies and people. The goal of CTR’s drive to standardization, consistency and simplicity is a JPMorgan Chase architecture that fosters long-term productivity, quality and innovation across the entire enterprise. The disciplines within this organization are Compliance Technology, Oversight & Controls Technology, Legal & e-Discovery, Identity & Access Management, IT Risk & Controls, HR Real Estate & Global Services Technology, and Third Party Risk Management.
Control System Technology provides strategic application development and production support to 5 firm-wide organizations whose focus is strongly aligned to the firm’s enterprise wide control agendas: Oversight and Control, IT Risk Management, Sourcing & Procurement, Global Security & Investigations, and Global Business Resiliency.
The Data Modeler position is part of a central team that is responsible for designing, developing, and maintaining application data models. The role requires someone with good analytical and communication skills. The candidate should have a good technology background with some working knowledge of relational database theory or big data. The application data models are a critical component of the technology organization as they provide the basis for database design, data service generation, data quality assessment, and data documentation.
The role will involve working with senior data modelers to develop high level and detailed logical data models with an associated controlled vocabulary, both of which will need to be versioned controlled and managed in the CT Metadata platform. Additionally, the data modeler will identify Critical Data Elements, determine required data quality controls, and create a physical data model on varying database platforms (e.g. Oracle, SQL Server, Maria DB, Hbase).
The data modeler will need to work in a collaborative manner with business sponsors, application developers, and data product owners to maintain the canonical/logical, physical and XML data models. Instruction will be given on specific tools and technologies; however a good grasp of Erwin and MS Office tools is expected.
Computer Science Graduate preferred unless has previous data modelling experience
Strong communication skills
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