Data Migration Specialist - Remote / Telecommute

Cynet Systems; Fredericton; Remote; CAD 85,000 - 120,000; Full time

Job summary

A leading data management firm in Canada is seeking a Data Migration Specialist to provide expertise in data migration and archiving strategies. The role involves collaboration with clinical leadership and IT teams to ensure data integrity and quality throughout migration processes. Ideal candidates will possess extensive experience in healthcare-specific data management and strong presentation skills.

Qualifications

• 7+ years in data migration planning and execution.
• 7+ years managing critical master datasets.
• 3+ years in data modeling for healthcare data.

Responsibilities

• Provide subject matter expertise for data migration strategies.
• Document and prioritize critical health master data sets.
• Establish standards for data integrity and accuracy.
• Develop and manage master data strategy.
• Create and implement data mapping rules.
• Collaborate with stakeholders to define data requirements.

Skills

Comprehensive data migration planning

Data quality validation

Data cleansing and standardization

Health records management

Data modeling

Stakeholder presentation

Experience with Canadian health information systems

Job description

Overview

The Data Migration Specialist will provide subject matter expertise in the recommendation of CIS Data Migration and Data Archiving strategies. This role will involve working with stakeholders to document and prioritize critical health master data sets, establish data governance standards, develop data mapping rules, and ensure data quality throughout the migration and archiving process. The specialist will act as a liaison between clinical leadership, HIM, compliance, IT teams, and vendors to deliver effective data management solutions.

Responsibilities

• Provide subject matter expertise for CIS Data Migration and Data Archiving strategies.
• Assist in documenting and prioritizing critical health master data sets.
• Establish standards, processes, and tools for data quality, integrity, and accuracy.
• Develop and manage master data strategy for CIS, ensuring consistency across entities such as patients, providers, and locations.
• Create and implement data mapping rules for migration, archiving, and integration.
• Collaborate with clinical and technical stakeholders to define and refine data requirements.
• Develop and maintain data management documentation including specifications and flow diagrams.
• Create detailed transformation specifications with CIS solution implementers and working groups.
• Develop methodologies for extracting and profiling key data.
• Create and execute data migration test plans, validation reports, and reconciliation processes.
• Deliver a final data migration cutover plan and historical data lifecycle roadmap.

Requirements / Must Have

• Demonstrated experience in developing comprehensive data migration plans, including mapping data between source and target healthcare systems, validating data quality, ensuring integrity, and overseeing accurate data transfer (7 years).
• Demonstrated experience developing plans to manage and control critical master datasets throughout the CIS implementation lifecycle (7 years).
• Demonstrated experience cleansing and standardizing large healthcare-specific datasets (7 years).
• Demonstrated experience in health records and health information management.
• Demonstrated experience in data modeling, including conceptual, logical, and physical models for healthcare data (3 years).
• Demonstrated experience identifying critical datasets in a multi-legacy CIS environment and providing plans to move / adopt new standards.
• Demonstrated superior presentation skills for stakeholders of various levels, including business owners and executives.
• Experience with Canadian health information systems, standards, technology, and / or software (5 years).

Qualifications And Education

• Strong verbal and written communication skills.
• Ability to facilitate and present complex topics to diverse audiences.
• Advanced knowledge of healthcare data management principles and practices.