CRM Jobs - CRM Data Administrator Campus Bloomington Department VICE PRES INFORMATION TECHNLGY (UA-VPIT-IUBLA), 18325

at Indiana University
Location Bloomington, IN
Date Posted September 22, 2018
Category Default
Job Type Full-time

Description

Working both independently and as a member of the team, participate in all aspects of analysis, design, and development of data structures, integration solutions, and related vended applications to support data integrations and integrity of the Indiana University Salesforce CRM platform. Assist with the coordination of identification and analysis of data sources and processes required for logical and physical modeling of data for the IU CRM environment utilizing multiple data sources internal and external to the University. Provide input on technical architecture, including tools and processes. Collaborate with the IU CRM team and other UITS Divisions and units in the planning process to establish business requirements, define deliverables and establish timelines. Responsible for collaborating and ensuring the successful delivery of critical IU CRM platform data components and ongoing CRM data integrity.

Works as an effective member on the team providing daily administration of CRM maintained data, integrations, and imports. Demonstrates a high degree of self-initiative and commitment to expand skills and expertise through a variety of methods, including self-study, working/mentoring with colleagues, and both internal and external training. Identifies appropriate training, mentoring, guidance and resources necessary for the development of team member.

The job’s work is in the area of multi-object relational data architecture, maintenance, and integration development for the Salesforce CRM Platform and related applications. Selection preference may be given to candidates with experience working with one or more applicable products from this vendor.

Provide assistance to technical partners by ensuring availability of appropriate resources, and when needed, assist developers in determining data design solutions.