Plm Data Scientist Jobs (NOW HIRING)

Job Title: Data Migration Specialist (PLM) Location: Cary, IL or Remote Type: 13 month contract Compensation: $39-41/hour, depending on qualifications Work Model: Remote Hours: 40.0

Overview Support the migration of legacy product lifecycle management (PLM) data by performing data cleansing, validation, transformation, and migration activities. This role ensures data quality, regulatory compliance, and migration readiness for successful implementation of a new PLM platform.

Responsibilities

• Analyze legacy PLM data to identify duplicates, inaccuracies, incomplete records, obsolete data and inconsistencies.
• Apply approved data quality standards and cleansing rules to improve data accuracy and integrity.
• Standardize metadata, naming conventions, classifications, and attribute values.
• Partner with business process experts to resolve data quality issues and determine proper disposition of records.
• Prepare legacy data sets for migration into the new PLM system.
• Support data mapping activities between source and target systems.
• Participate in migration rehearsals, mock conversions, and production migration events.
• Perform data reconciliation activities before and after migration cycles.
• Assist with cutover planning and migration readiness assessments.
• Execute data validation and verification activities to confirm completeness and accuracy of migrated data.
• Investigate and resolve migration errors, exceptions, and data discrepancies.
• Support User Acceptance Testing (UAT) and business validation activities related to migrated data.
• Document data issues, corrective actions, and validation results.
• Develop and execute scripts, queries, and automated routines to improve efficiency, consistency, and accuracy of data cleansing and migration activities.
• Create transformation logic to convert legacy data into formats compatible with the new PLM system.
• Leverage automation tools to reduce manual effort, improve repeatability, and accelerate migration execution.
• Collaborate with the Data Migration Lead and technical teams to validate automated data conversion approaches.
• Maintain data cleansing logs, issue trackers, and migration status reports.
• Document cleansing rules, transformation logic, assumptions, and remediations activities.
• Provide regular progress updates and escalate data quality risks or roadblocks.
• Assist with reconciliation and correction activities during stabilization.
• Participate in post-go-live data quality reviews.
• Provide input into lessons learned and continuous improvement efforts.

Requirements

• Experience performing data cleansing, data validation, and/or data migration activities.
• Strong attention to detail and ability to work with large data sets.
• Strong critical thinking/troubleshooting skills.
• Proficiency with Microsoft Excel and data analysis techniques.
• Ability to interpret business rules and apply data governance standards consistently.
• Capable of managing multiple priorities and meeting deliverables in a fast-paced project environment.
• Associate degree or equivalent combination of education and experience preferred.
• Work experience in a regulated environment with medical devices and/or pharmaceutical data (cGMP, cGDP and 21 CFR part 11 regulations) preferred.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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