JPMorgan Metadata Management Logical Data Modelling Senior Associate 

United Kingdom, England, London 

550139004

As a Metadata Management and Logical Data Modelling Senior Associate in Data Product Metadata Management team, you will be responsible for owning, developing and maintaining the AWM (Asset Wealth Management) Core Logical Data Model and the AWM Business Glossary supporting development of data products for maintaining and accessing core enterprise level data. You will also work closely with Senior Management to help execute the firmwide data product-based approach to accelerate data value realization with descriptive and predictive analytics.

Job responsibilities

• Understands, analyses, captures and maintains business data requirements using data models
• Ensures these models are consistent and that the Business Glossary is linked and maintained in a manner that allows impact assessment and lineage of metadata
• Loads and versions the models into a central Metadata repository
• Reviews, adopts and integrates data models from Firmwide, other LOB and development teams into AWM LOB model
• Provides review feedback to Firmwide and application teams
• Keeps up to date documentation in central data portal that details all the AWM data modelling standards
• Assists Data Product owners and development teams to adopt and reuse AWM Core Logical Data Model in producing application logical models and data offering models
• Assists development teams to map their data implementations to the logical data model for documentation, lineage to business glossary and application model creation.
• Maintains data integrity rules

Required qualifications, capabilities and skills

• Experience in data modelling within Financial Services industry
• A good understanding of financial and business data such as: instrument data, instrument pricing data, party & account data, positions & transactions, fund data, investment performance data, index & benchmark data, market vendor data for buy-side researchers and portfolio managers
• Data modelling skills at a logical level. Knowledge of data model design patterns
• ER (Entity Relationship) modelling to a competent level to be able to coach others in business requirements capture
• Proficient with a data modelling tool such as PowerDesigner, Erwin or MagicDraw
• Effective with minimal supervision, works under own initiative and executes with end-to-end focus
• Influences and drives key aspects of the business / function
• Excellent communication skills with the ability to be comfortable in a confrontational situation
• Team player with relationship building skills

Preferred qualifications, capabilities and skills

• A good understanding of different modelling notations (UML, ORM, etc.) and data schemas (JSON, XSD, XML)
• Metadata management, Metadata Repository, Data dictionary usage and associated tools
• An understanding of what constitutes best practice data governance and data quality controls
• Business Analysis experience within banking and financial services industry, preferably in the Asset and Wealth Management space