Asset Performance Management (APM) Senior Engineer

Role Summary

Asset Performance Management (APM) Senior Engineer responsible for driving continuous improvement and innovation in asset reliability and lifecycle management. Will collaborate with maintenance, operations, and Lean digital teams to transition toward data-driven maintenance supporting manufacturing excellence.

Responsibilities

• Serve as a technical lead for reliability methodologies, asset lifecycle management, early equipment management, and condition-based monitoring, partnering with the Reliability & TPM Director to implement and enhance work processes and standards.
• Monitor and analyze equipment performance and reliability data and KPIs from SAP and downtime tracking tools to identify trends and recommend improvements.
• Develop and deliver leadership reporting and insights by tracking asset performance and reliability KPIs, analyzing data to identify issues or improvement opportunities, and supporting cross-area benchmarking.
• Act as a change champion for TPM, reliability, and prescriptive maintenance initiatives by promoting new practices and engaging stakeholders across teams.
• Champion the integration of Prescriptive Maintenance by working with digital, maintenance, and operations teams to implement advanced, data-driven approaches. This includes leveraging real-time and historical equipment data, advanced analytics, AI, and machine learning to predict potential failures and prescribe the most effective corrective actions, making proactive asset management a core site capability.
• Lead or facilitate cross-functional investigations and workshops (e.g., root cause analysis, FMEA, equipment criticality assessments) to solve equipment issues and drive reliability initiatives.
• Champion Early Equipment Management (EEM) for new projects and major upgrades by ensuring reliability and maintainability are considered in equipment selection, design, and installation, and by engaging operators and maintenance teams for input throughout the process.
• Scout and pilot new reliability and maintenance technologies in partnership with digital, LEAN, and maintenance teams to support continuous improvement and innovation.
• Collaborate with TPM facilitators, maintenance, and operations teams to execute criticality analyses, breakdown studies, and reliability projects in line with TPM principles.
• Help develop and optimize preventive and predictive maintenance programs, targeting chronic failures (‚Äúbad actors‚Äù) through systematic data analysis.
• Support the adoption and effective use of digital tools for asset health monitoring, working closely with Lean digital teams to advance autonomous manufacturing.
• Contribute to spare parts inventory decisions, using data and risk assessments to optimize stock levels and support plant reliability goals.
• Assist in drafting and deploying site reliability procedures, standards, and training materials, helping to upskill operations and maintenance personnel.
• Present findings and recommendations to site leadership, ensuring alignment and support for reliability and performance improvement efforts.
• Ensure compliance with internal/external standards and support audits related to asset management.

Qualifications

• Required: Bachelor‚Äôs degree in engineering or related scientific or industrial discipline
• Required: 5+ years of relevant manufacturing experience in a technical position
• Required: Strong analytical and data interpretation skills
• Required: Experience leading technical workshops and reliability investigations
• Required: Solid understanding of maintenance processes
• Required: Effective communicator and influencer in cross-functional teams
• Preferred: Advanced degree or certification in reliability or maintenance engineering
• Preferred: Certification or training in data analytics
• Preferred: Certification or training in Total Productive Maintenance
• Preferred: Experience in pharmaceutical OSD manufacturing or other GMP regulated industries
• Preferred: Experience with SAP, data historians, and predictive/prescriptive maintenance tools

Skills

• Reliability engineering
• Data analysis and interpretation
• cross-functional collaboration
• Prescriptive and predictive maintenance
• Root cause analysis and problem-solving
• Digital tools for asset health monitoring

Additional Requirements

• None specified