Senior Engineer, Quality Data

Shure•Niles, IL

5d•$100,700 - $161,200•Hybrid

About The Position

Shure is hiring a Senior Engineer, Quality Data to build data-driven solutions, improve processes, and turn quality metrics into useful insights. The role supports systems, analytics, and tools that drive quality excellence across the organization and includes assisting with the training and development of junior team members. It is hybrid, with three days per week on-site at Shure’s Niles, Illinois location. The position leads the design, development, implementation, and optimization of data solutions supporting Quality operations, including pipelines, integrations, databases, dashboards, analytics platforms, and cloud technologies. It also provides technical leadership for AI-enabled solutions, including intelligent agents, copilots, and business applications, and establishes practices for responsible AI and enterprise adoption. The role works with Global Quality associates, business teams, project leaders, application users, IT, and outside software providers to identify needs, develop and implement solutions, support systems, and improve processes. It analyzes quality data to identify improvement opportunities and validates the effectiveness of changes. Applicants must be authorized to work in the United States on a full-time basis; Shure will not sponsor work visas.

Requirements

Bachelor’s degree in Engineering, Computer Science, Information Technology, or another closely related field.
At least 5 years of experience using data analysis, data engineering, and quality tools, or an equivalent advanced degree.
Advanced experience designing and deploying AI-enabled applications, copilots, agents, and intelligent automation solutions.
Demonstrated technical leadership establishing AI best practices, mentoring engineering teams, and driving enterprise-wide adoption of scalable, secure, business-focused AI solutions.
Proven experience using SAP S4HANA, Microsoft Power Platform (specifically PowerApps and Power Automate), advanced Microsoft Excel, Tableau, and Minitab to store, process, analyze, and report data.
Ability to think logically and constructively about problems, communicate analytical findings clearly, and propose solutions that address project or system needs.
Very strong data analysis skills, including the ability to detect changes and trends and assess their importance.
Ability to work on problems of diverse scope that require evaluation of identifiable factors.
Good judgment in selecting methods and techniques to solve difficult and diverse assignments.
Strong verbal and written communication skills.
Ability to communicate effectively with internal customers to resolve technical issues and offer effective solutions.
Must be currently authorized to work in the United States on a full-time basis; Shure will not sponsor work visas.

Nice To Haves

Technical proficiency with Python, SQL, and Excel VBA is strongly preferred.
Experience with AWS Data Lake, Snowflake, Informatica, Reliance EtQ, or SharePoint Online.
Familiarity with quality issue resolution methods such as Root Cause and Corrective Action (RCCA), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), and Production Part Approval Process (PPAP).

Responsibilities

Engage with Global Quality Division associates to understand quality engineering processes and data systems, identify quality data needs, assess potential solutions, and drive their execution and implementation.
Partner with business teams, project leaders, and application users to collect, analyze, prioritize, and translate complex requirements into scalable data engineering, reporting, automation, and AI solutions.
Research and analyze opportunities for continuous improvement through process automation, workflow modernization, data architecture and system integration improvements, and digital transformation.
Lead the design, development, implementation, and optimization of enterprise data solutions, including data pipelines, integrations, databases, dashboards, analytics platforms, and cloud-based technologies.
Support and ensure timely resolution of quality data engineering service requests submitted by quality associates.
Develop, maintain, and govern best practices for data collection, storage, management, security, accessibility, reporting, compliance, and lifecycle management across Quality systems and platforms.
Continuously improve Quality’s foundational systems, procedures, standards, governance frameworks, and digital capabilities for scalability, maintainability, and business value.
Provide training, guidance, technical support, and administrative services for global quality systems and databases.
Provide technical leadership in designing, architecting, and deploying AI-enabled solutions; establish standards, mentor teams, and drive adoption of solutions that deliver business value and productivity improvements.
Lead development of intelligent agents, copilots, and AI-integrated business applications using Microsoft Copilot Studio, AI Builder, and the Power Platform.
Serve as the Quality Division’s point of contact with IT on requirements for continuous-improvement data initiatives, data process enhancements, metrics reporting, and corporate data projects; ensure systems align with business objectives.
Work with outside software providers to administer and maintain current systems and identify and implement new solutions; lead related projects.
Analyze quality data to identify opportunities in processes and products, work with quality engineers to drive improvements, and validate changes using data.