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Solutions Architect

Req #: 170096878
Location: Wilmington, DE, US
Job Category: Technology
Job Description:

Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.3 trillion and operations in more than 60 countries We serve more than 50 million consumers and small businesses through more than 5,600 bank branches, 18,700 ATMs, credit cards, mortgage offices and online and mobile banking as well as through relationships with auto dealerships.


Within Chase, Consumer Banking provides great products and an outstanding customer experience at over 5,600 branches and 18,700 ATMs in 23 states, as well as online and over the phone.


As a Chase employee, you’ll be part of a company that makes a real difference every day for our customers, our communities and ourselves. With a focus on customer service, you’ll put others first, do what’s right and create solutions that make lives better. We invite you to build your career on our strong foundation and help shape what’s next – for you and for us.


This position is responsible for the technical and process solutions to strategic projects affecting CCB Operations.   This IT leader is responsible for ensuring the delivered solutions meet the critical business needs while complying with and advancing the IT strategic direction for CCB.  This leader is also responsible for maintaining and building reference material which describes the existing technology assets and their alignment to CCB functions and capabilities.


The Solution Architect works directly with business and IT leaders across CCB lines of business to understand the business need, the current architecture, and to evaluate solution options and impacts.  The CCB Solution Architect works with IT personnel across disciplines (data, infrastructure, development, production support)  and with LOB business operations to define and deliver the recommended solutions.


Key responsibilities include:

  • Lead project architecture decision making for the most visible and important active investments within CCB Operations, especially related to Call Center and Telephony technologies.
  • Create early-phase concept assessments and oversee project estimations that help leaders organize business cases for investment decisions
  • Lead the delivery of end-to-end project architecture decisions and deliverables as a part of the company’s project delivery framework
  • Systematically identify key capability investments across projects and formally propose restructuring of projects, investments, or designs to accommodate broader enterprise objectives within the company’s current active project portfolio
  • Drive the alignment of each line of business to the CCB Operations solutions.
  • Partner closely and build strong relationships with application development managers and business leaders for the Customer Servicing functions
  • Lead the creation and maintenance of reference documentation of  CCB’s technology assets, including current state architecture, target architecture and roadmaps, and total cost of ownership models
  • Establish and maintain architecture project management controls and deliverable tracking via the architecture PMO, including architecture resourcing and capacity planning models
  • Bring thought leadership & work collaboratively across the firm-wide CIO organization on innovation, improvement & efficiency programs.   
  • Consult on the technologies and processes that support Consumer and Community Banking Operations
  • Define technology direction, in the form of standards and principles, for area of expertise based on analysis, industry standards and previous experiences.


Overall:   Strong and effective communication skills. Able to roll-up presentations to an executive readout level.  Able to present  to architecture peers and boards and cross-domain technical audiences.   Strong cross-team collaboration and leadership skills. Understanding  of Cloud  Economics  and architecture  decisions based on CapEx and OpEx  impacts on  operational  Run Rates and overall TCO.  Think Big  but able to Execute on Vision (Technical acumen).



1.      Contact Center

a.      Good knowledge  of vendor applications and solutions synthesized  via their associated API frameworks : Genesys, Nuance, Verint,  in particular for omni-channel management, context and session interaction management , voice biometric, workforce optimization, real time voice analytics, virtual agents, bots, server and client side application integration.

b.      Understanding of Media Management (Protocol interworking: SIP-SIP, SIP-H.323, H.323-SIP, Media interworking Transcoding, Media Services: Replicate media for call recording, clean up media (echo cancellation) and inject media (MOH), SIPREC – with failover of call recording servers, Video:  Codec H264/5 with VP8, SIP DTMF inband(signal)/out of band(media), IPv4/IPv6, Session and Call Admission Control).

c.       Understanding WebRTC (ICE/STUN, Transcoding (Opus, VP8/9, H.264/5, G.711, G.729), Session controls (network, device handoffs, rehydration), Adaptive QoS controls on Internet),


2.      Cloud

a.      Understanding  of Cloud Services ( IaaS, PaaS and SaaS) and Deployment Models (Public, Private, Hybrid, On-premise)

b.      Understanding of AWS PaaS microservice creation and management  ecosystem

c.       Understanding of Digital Architectures (Application development  and container management  (Spring, Scala, Docker), principles of fault tolerant microservices construction and management

d.      Working experience with Cloud development stacks:

                                                              i.       OpenStack, CloudStack, VCloud, EC2  for Hybrid  Configurations  and Managed Cloud Considerations

e.      Understanding right implementations and tradeoffs of open source message brokers  such as Apache ActiveMQ,  Kafka,  JMS

f.        Understanding of elastic non-structural  databases (MongoDB, Cassandra)  and data modeling tools (see Data Modeling section).

g.       Web Services, Rest API and RAML API creation standards

h.      Understanding  exporting on-premise contact center software layers in a cloud PaaS (i.e. AWS – see Contact Center section)

i.        Encryption of  data and indexes  in Cloud  with  private KMS (Key Management System) and overall Security Considerations


3.      Data Modeling

a.      Understanding of semantic/logical schema definitions to support  Presentational  Dash-Boards,  and Actionable Operational and Provisioning Cockpits drawn from disparate Contact Center sources ( application level API, real time events CTI, real time Context Stores) 

b.      Understanding  of  semantic and physical modeling against  disparate  data stores (Structured  Databases, Key Value Stores, Column Family Stores, Big Data Stores) 

c.       Knowledge of data modeling tools (Dimensional Fact Modeling,  Erwin, ER/Studio, Oracle Data modeling  tools) – in various logical formats ( tabular, nested, graph

d.      Good understanding of Lamda  Architecture and Polyglot Persistence  

e.      Understanding of  Modeling for  Real  Time Analytics ( Hadoop HDFS and Cloudera MapReduce  and Apache Spark and Storm  methods data processing methods) – See other sections (Cloud, Contact Center) 

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