J.P. Morgan is a global leader in asset and wealth management services. We serve institutional, high net worth and retail clients through J.P. Morgan Asset Management; Highbridge Capital Management; and Private Banking, which includes the Private Bank, Private Wealth Management, and J.P. Morgan Securities. We are one of the largest asset and wealth managers in the world.
The Core Components and Architecture (CCA) group within the Technology division of J.P. Morgan Asset Management serves all aspects of the business, providing best in class architecture and enterprise data solutions and services used as the foundation for technology development. The CCA team has been formed in order to develop common services and user interfaces that will be utilised to maintain and distribute core data such as client, instrument, stock and pricing information across Asset Management.
This is a unique and exciting opportunity to join the Core Components and Architecture (CCA) team. The team has the remit to re-write the entire product suite over the next three years and is therefore looking for top talent that can bring fresh ideas and passion to the area to create truly innovative solutions.
The CCA Team is currently seeking an Information Architect to join a global team responsible for the Party and Account data management systems within the Wealth Management business, driving towards improved data quality whilst in parallel moving the organisation to a model driven service architecture aimed at standardising the method of data consumption for all data subscribers.
This position works in a collaborative manner with the Lead Design Authority (‘LDA’) to identify data requirements and design the right solution in partnership with the Asset Management (JPMAM) Chief Information Architect and peer Information Architects. This person is responsible for providing leadership within a Technology product or subject area by working in close consultation with the Chief Data Office ‘CDO’ The CDO exists to apply data governance over business critical enterprise data and to do that they need a partner in technology to develop the longer term strategy for data that meets business and regulatory requirements.
The Information Architect is responsible for co-developing and implementing a data strategy with the CDO, business partners and technology leads for their data subject area domain. This will involve helping to develop and implement the long term data strategy and systems architecture such as provisioning of data from recognised Authoritative Data Sources. They will interact with the Enterprise Data Platform (‘EDP’) to support areas such as metadata management, data quality assessment, data inventory management, data lineage and assessment of data solutions against firmwide policies and standards.
They will need to work with other Information architects to ensure data principles and standards are upheld and to assist project teams with the development of logical data models and the adoption of core data services. Their work will involve liaising with firmwide and with peer information architects. The following extract is taken from the role of the IA as defined at a firmwide level.
· Co-ordinates with provider and consumer Domain Steward(s) to link business content (data definitions, data lineage, data quality) to technical content (data element, data model)
· Works with the Domain Steward(s) to determine authoritative data sources within the data supply chain
· Collaborates with the Domain Steward(s) to remediate the root cause of data issues
· Assists in the data management initiatives by coordinating with Domain Executive(s) and Technology and Operational Manager(s)
· Designs and facilitates the end-to-end Information Architecture (e.g. data flows, taxonomies, data models, design patterns)
· Assists Domain Steward(s) with documenting end-to-end data flow to show data lineage
· Facilitates the integration of data sets by collaborating with the Domain Steward(s)
· Provides guidance on the required infrastructure (e.g. tools, software, hardware etc.)
· Monitors data initiatives to ensure compliance with data management policy and standards
· Provides thought leadership and guidance to data framework and design considerations
· Translates data quality rules into technical rules
Detailed Job functions
- Contributing to Asset Management data architecture principles and standards. Then ensuing these principles and standards are adopted in their projects.
- At the core of the data platform is the Meta Data Repository (MDR). A key function will be management of the contents that they own within the MDR. This will involve using data discovery and profiling capabilities as a precursor to data quality measurement. (Note the MDR solution is two platforms; Collibra for business metadata and Ab Initio for technical metadata.) This requires a good understanding of current state.
- Owning a Data Quality agenda. Making sure the application of business data rules is understood and helping data stewards with the generation of data quality metrics.
- Working with business representatives, technology relationship managers and other Asset Management architects to shape and define the enterprise level data architecture. This will involve maintaining a conceptual model of the business and the development of high level logical models for key subject area.
- Ensuring the high level logical models are integrated into the master Asset Management logical model and working with project teams to help them build out a more detailed logical model. In this role the data architect will need good communications and influencing skills to ensure the project teams develop the proposed solution in a manner that is consistent with the agreed model and data standards.
- Participation in a number of data working groups, e.g. Information Architecture. Part of this responsibility will be to communicate key messages from firmwide forums that relate to data governance. E.g. GTAC and firmwide CDO.
- Presentation of their data architecture strategies for peer review.
- Review and sign off data related designs for projects in their area of influence.
- Network with other groups within JPMorgan and with peers in other companies to keep up to date with best practice.
- Coach data modeling and requirements capture.
- Liaise with the QA team to improve quality as early as possible in the software development life cycle
Computer Science Graduate preferred
Background minimum of 5 years of development experience
Followed by a minimum of 5 years of related experience where the applicant has taken the principle role in data architecture Responsible for data decisions for large scale projects (excess of $1mm)
Solid Data architecture skills, to include logical and physical data modeling
Good communicator, good listener and comfortable doing presentations at board level
Relationship building, team player
Knowledge of messaging principles and data distribution architectures
Financial industry business knowledge
Knowledge of/familiarity with Party data model concepts
Construction of a business case to support a technology driven initiative
Data modeling to a competent level to be able to coach others in requirements capture
Data mining , data transfer and data profiling technologies
Data service design
Project management and estimating
Knowledge of a commercial Enterprise architecture framework
People Management skills
MDR Data dictionary usage and associated tools
PowerDesigner (or similar data modelling tool)
Works under own initiative
Consultative - enjoys coaching others
Logical structured thinker
Flexible, able to compromise
Able to handle conflict and objections objectively