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.
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