Quality Data Coordinator

New Pig Corporation; Antis Township (PA); Presencial; USD 70 000 - 90 000; Tempo integral

Resumo da oferta

New Pig Corporation is seeking a Quality Data Coordinator to ensure product quality data aligns with physical products across the portfolio. You will evaluate finished goods, determine escalation paths for quality issues, and partner with Vertical and Horizontal teams on data management and quality platforms.

The role includes supporting QMS and PLM implementations, administering data governance, and coordinating updates across teams to maintain data integrity and informed decision making.

Qualificações

• Bachelor's degree in a related field (e.g., Quality, Engineering, Supply Chain, Business, Information Systems) or equivalent experience.
• 3+ years of experience in quality assurance, product data management, or a related function (TBD).
• Experience with QMS and/or PLM platforms, including administration or implementation.
• Strong analytical and problem-solving skills, with sound judgment in evaluating issues and recommending solutions.
• Excellent communication and cross-functional collaboration skills.
• High attention to detail and the ability to manage multiple priorities independently.
• Supervision of Quality Data Analyst

Responsabilidades

• Design and execute a risk-based cadence of spot-check inspections of active products, covering both co-manufactured/developed products and NP manufactured products.
• Evaluate inspection findings and use independent judgment to determine the significance of quality issues with finished goods, and decide on the appropriate corrective path.
• Escalate quality issues to the appropriate channels and recommend actions, including how and when to engage suppliers, manufacturing partners, and leadership.
• Identify quality trends & risks across inspection results and recommend adjustments to inspection cadence, scope, and focus areas.
• Determine whether product data is accurate to the physical product and resolve discrepancies by assessing root cause and deciding on the appropriate correction.
• Establish and refine data quality standards and checks in partnership with the teams that own the data.
• Coordinate product updates and quality issues with the Vertical and applicable Horizontal teams, aligning stakeholders on priorities, timing, and resolution.
• Participate in the evaluation and selection of the Quality Management System (QMS) and Product Lifecycle Management (PLM) platforms, including defining requirements and assessing vendor options.
• Contribute to implementation planning, configuration decisions, testing, and rollout of both platforms.
• Provide ongoing QMS system administration, including user access, workflows, and process configuration.
• Provide ongoing PLM data management support, including governance of data structures, standards, and updates.
• Serve as a subject matter resource for system-related decisions affecting quality and product data.

Conhecimentos

Analytical

Problem-solving

Communication

Cross-functional collaboration

Attention to detail

Multitasking

Supervision

Formação académica

Bachelor's degree in related field

Ferramentas

QMS/PLM platforms

Descrição da oferta de emprego

Quality Data Coordinator

Position Summary

The Quality Data Coordinator is responsible for ensuring that product quality and product data accurately reflect the physical product across the portfolio. This role independently evaluates finished goods, determines the severity and appropriate escalation path for quality issues, and serves as a key business partner to the Vertical and Horizontal teams. The role also helps shape and administer the company's quality technology platforms, including participating in system selection and implementation and providing ongoing administration and data management support.

This position exercises discretion and independent judgment on matters of significance to product quality, data integrity, and business operations.

Key Responsibilities:

Product Quality Oversight

• Design and execute a risk-based cadence of spot-check inspections of active products, covering both co-manufactured/developed products and NP manufactured products.
• Evaluate inspection findings and use independent judgment to determine the significance of quality issues with finished goods, and decide on the appropriate corrective path.
• Escalate quality issues to the appropriate channels and recommend actions, including how and when to engage suppliers, manufacturing partners, and leadership.
• Identify quality trends & risks across inspection results and recommend adjustments to inspection cadence, scope, and focus areas.

Product Data Integrity

• Determine whether product data is accurate to the physical product and resolve discrepancies by assessing root cause and deciding on the appropriate correction.
• Establish and refine data quality standards and checks in partnership with the teams that own the data.
• Coordinate product updates and quality issues with the Vertical and applicable Horizontal teams, aligning stakeholders on priorities, timing, and resolution.

Quality and Product Systems (QMS and PLM)

• Participate in the evaluation and selection of the Quality Management System (QMS) and Product Lifecycle Management (PLM) platforms, including defining requirements and assessing vendor options.
• Contribute to implementation planning, configuration decisions, testing, and rollout of both platforms.
• Provide ongoing QMS system administration, including user access, workflows, and process configuration.
• Provide ongoing PLM data management support, including governance of data structures, standards, and updates.
• Serve as a subject matter resource for system-related decisions affecting quality and product data.

Qualifications:

• Bachelor's degree in a related field (e.g., Quality, Engineering, Supply Chain, Business, Information Systems) or equivalent experience.
• 3+ years of experience in quality assurance, product data management, or a related function (TBD).
• Experience with QMS and/or PLM platforms, including administration or implementation.
• Strong analytical and problem-solving skills, with sound judgment in evaluating issues and recommending solutions.
• Excellent communication and cross-functional collaboration skills.
• High attention to detail and the ability to manage multiple priorities independently.
• Supervision of Quality Data Analyst