Lead, Project Engineering (Data Cleansing Lead)

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Job Title: Lead, Project Engineering (Data Cleansing Lead)

Job Code: 40078

Job Location: Palm Bay, FL

Job Schedule: 9/80

The Data Cleansing Lead acts as the critical gatekeeper of data integrity for the enterprise PLM implementation, ensuring that legacy engineering data is systematically audited, scrubbed, and standardized prior to migration. Recognizing that system automation and user trust depend entirely on data quality, this role establishes the overarching cleansing strategy, data-profiling rules, and governance metrics required to remediate millions of complex records, including CAD files, Bills of Materials (BOMs), part taxonomies and documents. By mobilizing and coordinating cross-functional teams of engineers, data analysts, and business analysts, the Lead drives the collaborative effort to eliminate duplicates, enrich incomplete metadata, and purge obsolete files. Ultimately, this position converts historical 'dirty data' into a pristine digital thread, mitigating the risk of post-Go-Live system failures and ensuring a stable, high-performing PLM environment from day one

• Establish the overall data cleansing strategy, scope, and compliance standards for legacy data migration into the new PLM environment.

• Define and enforce data profiling rules, quality standards, naming conventions, part attribution criteria, and engineering classification structures to improve consistency and readiness.

• Lead data profiling and cleansing activities to identify and remediate structural anomalies, missing metadata, orphaned files, duplicate part numbers, obsolete records, and incomplete documentation.

• Partner with Engineering, R&D, Procurement, Quality, PLM Solution Architects, Data Migration Engineers, and policy stakeholders to align cleansing rules with target system design and governance requirements.

• Coordinate cross-functional remediation efforts, assign ownership for data issues, and manage analyst and support resources to ensure cleansing work is executed effectively and on schedule.

• Oversee mock data migrations and provide dashboards, health reports, metrics, and KPI tracking to measure readiness, monitor progress, and support project leadership decision-making.

• Assist with mapping of data model including object types, attributes and folder hierarchy to the target system

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