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Candidates must have US Citizenship
Enterprise Data Management (EDM) Specialist will be a functional subject matter expert for EDM.
The Specialist will also be the point of contact for EDM-related matters with current and prospective EDM customers.
The Specialist will also coordinate and participate in EDM regression test efforts, and monitor EDM system update logs for exceptions. Additionally, the EDM Specialist will communicate with prospective and current EDM customers to include EDM-related guidance and EDM-related documentation.
The Specialist will also, in communication with other VITA staff, perform EDM data steward tasks for the enterprise.
Minimum Qualifications:
• Demonstrated knowledge and experience in a data or business analyst role that required defining process requirements, collecting metadata, and testing;
• Familiarity with enterprise/master data management concepts, principles and best practices;
• Demonstrated knowledge and experience in researching, analyzing, interpreting and synthesizing information to make an informed decision and/or share the knowledge with team members, agency representatives and external representatives;
• Knowledge of physical process modeling, i.e. procedural design;
• Ability to use tools to analyze EDM components for comparison, reconciliation, and process quality review purposes;
• Knowledge of data management functions defined by the Data Management Association (DAMA), including enterprise data management;
• Experience writing and executing test scripts and test scenarios;
• Excellent verbal and writing skills and the ability to develop and present complex material effectively to a variety of audiences;
• Strong interpersonal skills and the ability to establish good working relationships with VITA team members, agency representatives, external representatives and vendor staff; and,
• Ability to work independently, to work against a plan, to meet deadlines, to follow procedures and to produce deliverables.
Preferred Qualifications:
• Experience supporting enterprise data management software (e.g., Initiate);
• Demonstrated thorough knowledge of one or more industry standards for representing data (e.g., NIEM);
• Experience applying statistical analysis to compare data sets;
• Proven ability to develop XML schemas;
• Proven project management skills; and,
• Previous experience successfully leading cross-organization engagements.
• Baccalaureate and/or advanced degree in information systems or computer science desirable; a degree with a minor in information systems, computer science or mathematics; or a combination of a degree and/or extensive experience in supporting large-scale, complex data management environments.
REQUIRED EXPERIENCE:
-Experience in a data or business analyst role that required defining process requirments, collecting metadata, and testing Required 7 Years
-Familiarity with enterprise/master data management concepts, principles Required 5 Years
experience in researching, analyzing, interpreting and synthesizing information to make an informed decision Required 5
-Years Knowledge of physical process modeling, i.e. procedural design Required 5 Years
-Ability to use tools to analyze EDM components for comparison, reconciliation, and process quality review purposes Required 5 Years
-Knowledge of data management functions defined by the Data Management Association (DAMA), including enterprise data management Required 3 Years
-Experience writing and executing test scripts and test scenarios Required 5 Years
-Excellent verbal and writing skills and the ability to develop and present complex material effectively to a variety of audiences Required 7 Years
-Strong interpersonal skills and the ability to establish good working relationships with VITA team members, agency representatives, external represent Required 7 Years
-Experience supporting enterprise data management software (e.g. Initiate) Nice to have 3 Years
-Demonstrated thorough knowledge of one or more industry standards for representing data (e.g., NIEM); Nice to have
3 Years
-Experience applying statistical analysis to compare data sets Nice to have 3 Years
INTERVIEW PROCESS:
In Person Only |
