Warranty Quality Analytics - Technical Specialist

Job Summary:

Applies specialized knowledge of statistical tools and warranty databases to analyze existing component or system reliability, report the reliability per the customer's reporting requirements, and provide interpretation of the results. Applies specialized knowledge across various areas and products to provide reliability comparisons and assessments across the Cummins product range and identify and report adverse or favorable trends in current product reliability. Applies specialized knowledge of statistical and life data analysis techniques to statistically quantify the reliability impact of design change. Develops related tools and methods in order to quantify and improve product reliability. Works with current product problem solving teams as well as finance and marketing functions.

Key Responsibilities:

Applies technical expertise on complex components or projects and works under minimal supervision. Leads small projects or portions of large projects. Provides technical direction for a project or a project team. Participates as a key contributor and is accountable for project success. Influences at department or program management level. Provides input on program-related decisions. Proposes innovative initiatives and projects. Demonstrates depth of knowledge of engineering discipline(s) and leverages expertise on other projects. Troubleshoots complex problems and recommends appropriate actions. Assists with the transfer of knowledge; coaches and mentors less experienced engineers. Competencies:

Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.

Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins’ products.

Product Failure Reporting and Corrective/Preventive Action Systems - Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product.

Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence.

Product Reliability and Reliability Risk Management - Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales and methods of tracking to focus attention on metrics to reduce risk and improve reliability.

Quantitative Reliability Analysis - Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement.

Reliability Test Planning - Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters and confidence; develops system level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions.

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

Global perspective - Taking a broad view when approaching issues, using a global lens.

Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications:

PhD, Masters of Science, Bachelor of Science, or equivalent technical degree required.

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

Experience:

Intermediate level of relevant work experience required, such as responsibility for several components of a project or a complex.

This role will be also responsible for warranty quality analysis to support the business decision, including financial justification for new product development, pricing for business negotiation, guidance for warranty terms release and financial accrual for selling volume.

• Minimized 3+ years reliability analysis experience
• Interested in data analysis and willing to delve deeper
• Cross-entity communication and collaboration capability
• Systematic thinking and inductive summarization skills
• Coaching and mentoring skills
• Multitasking management experience
• Digitalization project experience preferred