Engineer II, Quality Data

About the role

We're growing our Quality team at Shure and hiring an Engineer II, 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. This role is hybrid (3 days per week on-site) based in our Niles, IL location.

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