Lead, Project Engineering (Data Cleansing Lead)

L3Harris


Job Location:

Palm Bay, FL - USA

Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Lead Project Engineering (Data Cleansing Lead)

Job Code: 40078

Job Location:Palm Bay FL

Job Schedule: 9/80

Job Description:

TheData Cleansing Leadacts 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 toeliminateduplicates enrich incomplete metadata and purge obsolete thisposition 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

Essential Functions:

  • 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

Qualifications:

  • Bachelors Degree (preferably in Data Science Computer Science Information Technology Engineering or a highly analytical/quantitative field)and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related lieu of a degree minimum of 13 years of prior related experience.
  • Minimum of 5 years of data management data quality or data governance experience
  • Experience leading data cleansing/migration workstreams forlarge-scale enterprise system rollouts (PLM ERP or MDM required).
  • Experience developing improving or governing technical processes within a regulated engineering environment.

Preferred Additional Skills:

  • Familiarity with engineering and manufacturing data structures including CAD files Product Structure trees Bills of Materials (e.g. EBOM MBOM) and Engineering Change Notices (ECNs).
  • Experience developing training content guidance material or playbooks that support organizational capability growth
  • Experience with data analysis data profiling and ETL tools (e.g. SQL Excel advanced macros Alteryx Informatica or vendor-specific data migration utilities)



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Job Title: Lead Project Engineering (Data Cleansing Lead)Job Code: 40078Job Location:Palm Bay FLJob Schedule: 9/80Job Description:TheData Cleansing Leadacts as the critical gatekeeper of data integrity for the enterprise PLM implementation ensuring that legacy engineering data is systematically audi...

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At L3Harris, we anticipate and mitigate risk with agile end-to-end solutions that meet our customers' mission-critical needs across all domains.

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