Category Manager - Monitoring

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We’re looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec.

Chattanooga, TN On‑site

The Performance Category Manager (PCM) – Condition Monitoring bridges advanced analytics and deep understanding of Astec equipment within Smart Services. This role applies formula‑based rules to data‑driven insights to determine when asset conditions merit human investigation, ensuring the right quality and volume of cases flow through the system. Beyond signal curation, the PCM brings a product mindset to help shape hardware suites, CRM process, and after‑trigger workflows that enable effective diagnosis and resolution for our customers.

Through continuous tuning, cross‑functional collaboration, and lifecycle ownership, the PCM ensures insights translate into actionable, performance outcomes for the department and for our customers.

• Design and maintain rule‑based logic that converts analytics insights into actionable cases for Performance Advisors.
• Apply equipment and failure‑mode expertise to determine when asset behavior warrants human investigation.
• Build and manage automation workflows (e.g., Power Automate) using data from Azure, Dynamics, time context, and external sources to identify particular cases for investigation.
• Translate statistical correlations into practical, explainable equipment health hypotheses.
• Act with a product mindset to influence hardware, sensor, and data requirements needed for effective monitoring.
• Help define and improve post‑trigger workflows from detection through investigation and resolution.
• Tune thresholds and conditions over time to manage case volume, quality, and advisor workload.
• Incorporate feedback from Performance Advisors to reduce false positives and missed opportunities.
• Collaborate closely with Analytics, Enablement, and Product teams to continuously improve Smart Services outcomes for our customers.
• Strong business acumen to understand operational drivers and reporting needs for internal and external customers.

• 5+ years of progressive experience in equipment diagnostics, reliability engineering, condition monitoring, operations analytics, or a related industrial role.
• Bachelor’s degree in Engineering, Engineering Technology, Data Analytics, or a related technical field, or equivalent practical experience.
• Relevant certifications or training in reliability and condition monitoring, such as Asset Reliability Practitioner or Asset Performance Management strongly preferred.
• Strong understanding of industrial equipment, operating conditions, and common failure modes.
• Demonstrated ability to translate analytical insights or correlations into practical, asset‑level decisions.
• Experience designing, tuning, or managing rule‑based logic, alerts, or condition‑driven workflows.
• Comfort working with operational data from multiple sources and understanding its limitations and context.
• Product‑oriented mindset, with experience influencing data strategy, instrumentation, or hardware decisions.
• Ability to balance signal precision and coverage when determining what merits human investigation.
• Proven collaboration with analytics, engineering, service, or operations teams…