Senior Engineer, Quality Data

Shure•Niles, IL

1d•$100,700 - $161,200•Hybrid

About The Position

We're growing our Quality team at Shure and hiring an Senior Engineer, Quality Data! If you enjoy building data-driven solutions, improving processes, and transforming quality metrics into meaningful insights, this could be your next opportunity. Join us in shaping the systems, analytics, and tools that drive quality excellence across the organization. In this role, you will also assist with the training and development of junior team members. This role is hybrid (3 days per week on-site) based in our Niles, IL location.

Requirements

Bachelor’s degree in Engineering, Computer Science, Information Technology or other closely related bachelor’s degree.
Minimum of 5 years of experience using data analysis, data engineering and quality tools or equivalent advanced degree.
Technical proficiency with Python, SQL, Excel VBA, is strongly preferred.
Advanced experience designing and deploying AI-enabled applications, copilots, agents, and intelligent automation solutions.
Demonstrated technical leadership in establishing AI best practices, mentoring engineering teams, and driving enterprise-wide AI adoption to deliver scalable, secure, and business-focused solutions.
Proven experience in using SAP S4HANA, Microsoft Power Platform (specifically PowerApps, and Power Automate), Microsoft Excel (advanced), Tableau, and Minitab to store, process, analyze, and report data.
Ability to think logically and constructively about problems, clearly communicate findings of analysis, and propose solutions that address expressed needs within the project or related system.
Very strong data analysis skills. Ability to detect changes and trends and determine their importance.
Able to work on problems of diverse scope where analysis of data or situations require evaluation of identifiable factors.
Demonstrates good judgment in selecting methods and techniques for obtaining solutions for difficult and diverse assignments.
Strong verbal and written communications skills.
Ability to communicate effectively with internal customers to resolve technical issues and offer effective solutions.
Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

Nice To Haves

Experience with the following systems / infrastructures is a plus: AWS Data Lake, Snowflake, Informatica, Reliance EtQ, SharePoint Online.
Familiarity with basic quality issue resolution structure is desirable, such as Root Cause and Corrective Action (RCCA), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), Production Part Approval Process (PPAP).

Responsibilities

Proactively engages with Associates from the Global Quality Division to understand quality engineering processes and their related data systems, identify and respond to quality data needs, assess potential solutions, and drive execution and implementation of such solutions.
Partners with business teams, project leaders, and application users to collect, analyze, prioritize, and translate complex business requirements into scalable data engineering, reporting, automation, and AI solutions.
Conducts advanced research and analysis to identify opportunities for continuous improvement through process automation, workflow modernization, data architecture enhancements, system integration improvements, and digital transformation initiatives.
Leads the design, development, implementation, and optimization of enterprise data solutions, including data pipelines, integrations, databases, dashboards, analytics platforms, and cloud-based technologies that support Quality operations and business objectives.
Actively supports the resolution of quality data engineering service requests submitted by quality associates and ensures the effective and timely disposition of such requests.
Develops, maintains, and governs best practices for data collection, storage, management, security, accessibility, reporting, compliance, and lifecycle management across Quality systems and data platforms.
Design the continuous improvement of Quality's foundational systems, procedures, standards, governance frameworks, and digital capabilities to ensure long-term scalability, maintainability, and business value.
Provides training, guidance, technical support, and administrative services for global quality systems / databases.
Provides technical leadership in the design, architecture, and deployment of AI-enabled solutions across the organization.
Possesses advanced expertise in prompt engineering, agentic AI, knowledge grounding, AI governance, and responsible AI practices.
Leads the development of intelligent agents, copilots, and AI-integrated business applications using Microsoft Copilot Studio, AI Builder, and the Power Platform, while establishing standards, mentoring teams, and driving adoption of AI solutions that deliver measurable business value and productivity improvements.
Serves as Quality Division’s Point of Contact engaging with IT to provide requirements related to the division continuous improvement data initiatives, data process enhancements, metrics reporting, and corporate data projects.
Ensures systems are aligned with current business objectives
Works with outside software providers to administer and maintain current systems as well as identify and implement new solutions, as required, to sustain/improve our internal processes.
Leads these projects.
Performs analysis of quality data to identify areas of opportunity in our processes/products and works with quality engineers to drive improvements.
Validates effectiveness of the changes through data.