Product Quality Manager产质

Product Quality Manager产质

Cummins India Limited
2-5 years
Not Specified

Job Description

Product Quality Manager产质

  • Leads the Plant Product Quality Council process to improve quality, reduce warranty payments, and improve customer satisfaction across multiple plants or for a business unit.

  • Directs multiple teams that plan, track, and report on delivered quality and reliability of products or subsystems produced in a plant.

  • Ensures that all issues as reported through corrective action requests, supplier corrective action requests, or nonconforming materials reports are addressed in a timely and cost-effective manner.

  • Solves highly complex quality issues as they are escalated.

  • Establishes processes and tools to improve functional excellence in the prevention of failures.

  • Networks with other Product Quality Council Leaders to understand trends within the organization and to solve cross-business unit and cross-functional quality challenges.

  • Identifies and coaches resources necessary to achieve long-term and short-term business goals.

  • Identifies and defines emerging or potential problems and prioritizes effective containment through work with product quality teams.

  • Identifies and works with functional areas to ensure that adequate resources are available and other issues are resolved to deliver on-time and contain costs.

  • Develops, leads, and mentors teams focused on product quality and improvement.

  • Reviews post-implementation exercises to implement improvement suggestions and leverage identified strengths across the organization.


  • Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

  • Manages conflict - Handling conflict situations effectively, with a minimum of noise.

  • Customer focus - Building strong customer relationships and delivering customer-centric solutions.

  • Interpersonal savvy - Relating openly and comfortably with diverse groups of people.

  • Quality Leadership (Cummins Operating System) - Demonstrates knowledge of the Cummins Operating System, quality management systems by applying the ten practices to assess business segment and functional performance, set strategy aligned with business needs and create consistency of purpose for continuously improving products, processes, services enables data driven decision making and removes barriers to enable individuals to have line of sight to the customer uses metrics to drive continuous improvement.

  • Statistical Foundations - Applies statistical tools and technique to influence decision making leverages understanding of data collection methods, key statistics, graphical and analytical methods to describe process performance, gain insights and drive improvement action

  • Problem Solving - Solves problems using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer determines the assignable cause implements robust, data-based solutions identifies the systemic root causes and recommended actions to prevent problem reoccurrence.

  • Advanced Product Quality Planning - Leads the technical quality planning and ensures customer satisfaction through structured and measurable processes as defined by industry standard.

  • Measurement Science - Analyzes measurement processes throughout the relevant traceability chain to identify and quantify sources of measurement uncertainty relevant to the appropriate applied measurement science, 'Metrology' e.g. Chemical, Dimensional, Electrical, Mechanical, Optical and Radiation and Physical.

  • Quality System Management - Guides in the practice and application of quality management system standards required by international certification bodies, industry specific regulatory authorities and customer's contractually specified requirements.

  • Supplier Quality Management - Leads all aspects of supplier quality management helps develop strategy and collaborative supplier partnerships identifies supplier innovation capabilities contributes to supplier audit and certification process tracks supplier performance metrics and acts to quickly resolve issues to improve supplier quality performance.

  • Project Management - Establishes and maintains the balance of scope, schedule and resources for a temporary effort (a 'project').

Education, Licenses, Certifications

  • College, university, or equivalent degree in Business Administration, Engineering, or a related technical or scientific subject required.

  • This position may require licensing for compliance with export controls or sanctions regulations.


  • Significant relevant work experience required, including managerial and budgetary experience. Broad business knowledge required.

  • The candidate will assistestablishingPSBU control room andadministratethe operation. Following responsibilities and qualifications are desired for the candidate

Additional Responsibilities

  • Design and execute analytic projects in collaboration with quality, service, product, data engineering and other specialists

  • Build data visualization reports and tools for self-service consumption of data

  • Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes

  • Define the business problem from quality perspective and solution approach autonomously with limited guidance

  • Analyze and validate data to ensure high data quality and reliable insights

  • Partner with data engineering teams to improve data assets, quality, metrics and insights

  • Proactively identify opportunity areas for deep dive investigations and future program development

  • Write concise documents communicating results to stakeholders and visualize data to drive decision making

Additional Qualifications

  • Experience with Microsoft Excel and data visualization tools(Tableau, PowerBI).

  • 2 years of relevant experience in quality, business data, or statistical analysis

  • Strong background in data modeling, statistics methodology, machine learning, applications to business problems, and big data.

Job Details

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