Performance Category Manager - Condition Monitoring

About the role

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.

Deliverables & Responsibilities

• 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.

Requirements

• 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 to refine outcomes.
• Collaborative mindset to work across technical, commercial, and customer-facing teams.

Qualifications

• This role will not have supervisory or managerial responsibilities.
• This role will not have program management responsibilities.

Skills

• Strong business acumen to understand operational drivers and reporting needs for internal and external customers.
• Relevant certifications or training in reliability and condition monitoring, such as Asset Reliability Practitioner or Asset Performance Management.
• Strong understanding of industrial equipment, operating conditions, and common failure modes.
• 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 to refine outcomes.
• Collaborative mindset to work across technical, commercial, and customer-facing teams.

Benefits

• 10-20% of travel, potentially including both regional and international.

Pay

• N/A

Schedule

• N/A