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Marketing Data Architect Manager

Req #: 170109892
Location: Wilmington, DE, US
Job Category: Marketing/Communications
Potential Referral Amount: 0 US Dollar (USD)

The Marketing Data Architect Manager works closely with business and IT subject matter experts to lead the analysis, requirements, and design of analytic solutions based on the Marketing Analytics Platform (MAP).  MAP is a multi-tenant, cross-LOB, omni-channel analytics platform based on modern big data technologies and leveraged by hundreds of analysts across Consumer and Community Banking.  MAP supports full lifecycle marketing analytics from campaign execution to campaign performance reporting.

  • Become a subject matter expert on various marketing analytic domains, understanding how the data relates to business processes and outcomes.  Understand what success looks like and what metrics are truly needed to measure success.  Use this knowledge to deliver world-class analytic solutions to the business.

  • Help drive innovation and advancement of the MAP platform into the future, spearheading the use of modern big data technologies to unlock new analytic capabilities within the business, such as Spark for Machine Learning.

  • Lead the full-life cycle of large, complex analytic projects from the business side.  This includes working with business partners and conducting deep business and data analysis, requirements definition, user acceptance testing/evaluation of prototypes, BI/visualization development, documentation, and training.

  • Partner closely with IT (JPMIS) on the development and delivery of analytic solutions.   Conduct design workshops, design reviews, brainstorming sessions, evaluate and critique all designs for optimal business experience, performance, quality, etc.

  • Audit the MAP platform end-to-end and identify areas for improvement, control breaks, quality issues, and user experience issues.  Prepare stories/requirements in the product backlog and work with JPMIS on solutions.

  • Develop data visualization / BI solutions for certain MAP projects.   This involves learning Alteryx and Tableau and iterating with business partners on the product design.

  • Advance MAPs overall data model by looking for ways to integrate various subject areas into more consolidated data structures that can deliver more diverse analytics with less work.

  • Working with business stakeholders across the LOBs, define a standard taxonomy or data model for critical marketing constructs such as campaigns and offers.  Use this taxonomy to influence MAP design and support cross-channel marketing analytics.

  • Partner with the Data Management community to identify integration opportunities with the metadata repository (MDR), reference data management solution (MRDX), and other data management capabilities.  Working with the MAP business lead, prioritize and drive integration efforts.

  • A minimum of seven years of related experience.
  • Bachelor’s degree in Science, Business or Arts is required.  A degree in Computer Science, Business Analytics, or a related subject area is a plus.
  • Strong understanding of data architecture concepts, such as relational data modeling.
  • Solid understanding of relational database systems is required.  Experience with an MPP/shared nothing database is strongly preferred.
  • Hands-on experience with Hadoop related technologies, such as HIVE, Spark, and Impala is required.
  • Excellent command of the SQL language.
  • Experience with at least one data modeling tool such as Erwin or Dell Toad Data Modeler is a plus.
  • Understanding of data management concepts such as metadata, data quality, lineage, reference data management, etc. is a plus.
  • Desire and ability to quickly learn new technologies and identify areas for application within the business is critical to this role.   The individual must be self-motivated and capable of working with vague/open direction.
  • Strong desire to learn and understand the business and the data that drives it.
  • Excellent planning, interpersonal, problem solving skills are required.
  • Excellent communication skills, including verbal, written and presentation necessary. Active listening skills are required.
  • Requires technical understanding of key aspects of current architectures regarding Data Integration, Metadata, Data Warehousing, Reporting & BI product suites.
  • Very good understanding of data and analytics tools and industry trends.
  • Excellent people and collaboration skills. Ability to bring people together to accomplish shared objectives.
  • Ability to navigate the political dynamics inherent in a large organization.
  • Effectively facilitate meetings and cross-functional teams.
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