Data Conversion and Quality Lead (HYBRID) (long term) (Min 11 years of Exp) (Webcam interviews)

18 Feb 2025

Vacancy expired!

We are looking for Data Conversion and Quality Lead (HYBRID) (long term) (Min 11 years of Exp) (Webcam interviews) POSITION DESCRIPTION DIRECT CLIENT Position Number of positions: 1 Length: 12 Months + Location: Washington, DC 20003 Immediate interviews Webcam interviews Please note that this position is HYBRID. Candidates are required to work 3 days onsite and 2 days REMOTE per week from week 1. 11 years of experience. We are looking for an experienced consultant to lead data cleanup and transition activities related to the implementation of our new systems. Must be onsite 3 days a week. We are looking for an experienced consultant to lead data cleanup and data migration activities related to the implementation of our new system. Client is implementing a system based on the Microsoft Dynamics CRM platform. This role will be responsible for data conversion from legacy to new data model and as such needs to be experienced on translating business needs to the appropriate data structures and relationships. Included in this is the ability to make pragmatic compromises given time, budget, and resource constraints while ensuring the model remains flexible and scalable. Solid technical experience in database technologies (e.g. relational, no SQL, graph, etc.), and reporting/analysis tools (e.g. SQL, R, Hadoop, scripting, etc.) is required. As part of the transition to the new system, this position will also be a key driver in the design and implementation of a formal data quality framework with jurisdiction over all data collections and repositories across the entire agency including data originating from other sources. This is a highly visible role and requires someone with excellent communication skills who can fluently translate bidirectionally between technical and program/operational worlds. Specific Responsibilities:

  • Support the development of ideal target data model for new system and work with vendor to implement actual data model
  • Evaluate and document current state of data quality
  • Come up with and track data quality improvement actions
  • Manage data quality activities and maintain the Data Quality Plan
  • Maintain data inventories and, when possible, reduce data capture and maintenance systems
  • Develop agendas, schedule meetings, develop action items for the Data Quality Committee and its subcommittees
  • Conduct data quality analysis and develop recommendations for the Committees
  • Develop a documentation framework (using online capabilities such as SharePoint, Wiki, other tools) to continuously capture and update data quality standards, exception report processing, data and domain definitions
  • Develop and maintain report catalogue
  • Work with a system integration vendor to support data conversion effort
  • Develop data conversion quality control and quality assurance policy and procedures
  • Develop and maintain a data dictionary for technical and non-technical audiences
Minimum Education/Certification Requirements: Bachelor's degree in IT or related field or equivalent experience Candidates must have ALL the "Required" skills in order to be considered for the position. "Desired" or "Highly Desired" skills are a PLUS but may NOT be required. Skill Matrix Experience with Business workflow processes Required / Desired Amount of Experience 11+ yrs. business process re-engineering experience Required 11 Years Bachelor's degree in IT or related field or equivalent experience Required BS in IT or related or 15 yrs of overall exp Years SQL queries Required 2 Years Data quality initiatives, data modeling, or data architecture Required 11 Years Experience in Human Services, Child Services, or K-12 Education Nice to have 2 Years Experience with scripting/data analysis languages such as R, Python, Perl, Javascript, etc. Required 5 Years Experienced in data conversion from legacy Oracle to SQL Server Required 3 Years Experienced in Data extract/transfer, Data Mapping, Data Cleansing / Data Quality Required 11 Years Data conversion/transformation approach and planning Highly desired 5 Years Experience in data production Go-live planning and execution Highly desired 5 Years Develop data conversion quality control and quality assurance processes Required 7 Years Develop agendas, schedule meetings, develop action items Required 11 Years Develop a documentation framework (using online capabilities such as SharePoint, Wiki, other tools) Required 7 Years Data validation, error remediation and data governance Required 5 Years