Role: SAP Developer/Global Support Manager
Independent candidates only
Experience: 10+ years
Work Location: Fully Remote
Candidate Location: Open to nationwide candidates.
Required Skills;
Experience implementing investment SAP at least in four large organizations.
(At least one of these organizations must be a state, federal or county (public sector) organization.)
Seeking for Functional SAP consultant having extensive experience with FI, MM, HR, Payroll, SRM, CRM, and Treasury Management Modules. Client is planning to retire the existing Legacy systems.
The Consultant must have extensive experience in developing business blueprints, configuring treasury functionality in SAP, and creating requirements documents, test cases/scenarios, and training materials. The Consultant must also be able to assist in the design of reports and dashboards.
Day-to-day responsibilities:
· Interacts with business users through interviews, status & planning meetings, review of policies/procedures manuals, etc., and translates daily/monthly/year-end activities into business requirements.
· Creates and presents proto-types (provides demonstrates) to business users for implementation of out-of-the-box and custom investment, functionality required to replicate and/or improve these work activities.
· Works collaboratively with business and technical personnel to obtain agreement and approval of proposed design/business requirements.
· Once approved, creates functional design specification documents and obtains final approval by all parties.
· Works closely with Development Team to assist and support development and testing of activities requiring custom development.
· Works closely with ABAP and BASIS Teams and project managers to conduct testing, transmit changes through the appropriate release management processes to production to ensure minimal issues and optimal performance.
· Provides support to technical/reporting team to create universes, data structures, and to improve and streamline processes regarding data flow and data quality to improve data accuracy, viability, and value.
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