Asset Performance Management (APM) / Asset Predictive Analysis (APA) Engineer

Job Overview:We are seeking a results-driven APM / APA Engineer with 6–8 years of relevant experience in asset performance improvement, predictive maintenance analytics, and digital transformation within the oil & gas or petrochemical industry. The ideal candidate will possess a Core Engineering background (preferably Mechanical or Chemical) with hands-on exposure to condition-based monitoring, reliability frameworks (RCM/FMEA/RCA), and machine learning-based predictive models.In addition to technical responsibilities, this role will also support PMO activities, contributing to project governance, progress tracking, and alignment of project team. So, this is a hybrid role.Key Responsibilities: Asset Performance & Predictive MaintenanceDevelop, implement, and optimize asset strategies (PM, CBM, PdM, RBI) using Reliability-Centered Maintenance (RCM) principles.Lead Asset Codification, Criticality Assessment, and alignment of FMEA with CMMS failure modes.Deploy and fine-tune real-time equipment health monitoring using sensor data (vibration, temperature, flow, etc.).Build and validate ML-driven predictive maintenance models, incorporating AI pattern recognition, anomaly detection, and digital twins.Define and track Asset Health Indices and develop dashboards showing trends, KPIs, and predictive alerts.Conduct Root Cause Analysis (RCA) and link findings to predictive algorithms for improved accuracy.Interface with Process Historians (e.g., OSIsoft PI), CMMS (SAP, Maximo), and APM platforms (e.g., GE APM, Aspen Mtell, AVEVA Predictive Analytics).Participate in Risk-Based Inspection (RBI) strategy development and implementation for static equipment.Ensure alignment with data governance, safety, and cybersecurity standards for OT systems. Project Management SupportContribute to planning, execution, and governance of predictive maintenance and asset reliability projects under the Digital Transformation Program.Track milestones, risks, and KPIs associated with APM/APA initiatives using PMO tools (MS Project, Power BI, Primavera).Collaborate with engineers, IT, operations, vendors, and data scientists to deliver high-quality outcomes.Maintain project artifacts including charters, WBS, test cases, and lessons learned in various projects.Assist in business case development for digital asset solutions and support Steering Committee presentations.Support adoption, training, and change management efforts.Qualifications:Bachelor’s degree in Mechanical, Chemical, or related engineering discipline.4-6 years of experience in APM/RCM/CBM/PdM engineering within oil & gas or petrochemical sectors.Strong knowledge of asset failure mechanisms, maintenance optimization, and condition monitoring.Practical experience with predictive analytics platforms and ML/AI tools in an industrial setting.Familiarity with industry-standard tools such as AVEVA PI, GE APM, Aspen Mtell, SAP PM, IBM Maximo, or Honeywell Forge APM.Hands-on experience with process historians, DCS/SCADA data, and sensor integration.Working knowledge of project lifecycle, documentation standards, and governance frameworks.Certifications in RCM, FMEA, or Reliability Engineering are a plus.PMP, PRINCE2, or Agile certification is desirable but not mandatory.Strong communication skills with the ability to coordinate across multidisciplinary teams.Flexibility to travel to field sites and support hands-on diagnostic or deployment work is extremely important.What We Offer:Opportunity to work on high-impact asset reliability and predictive analytics programs with leading energy clients.Exposure to cutting-edge technologies in the digital asset management ecosystem.Collaborative work environment that encourages technical innovation and cross-functional learning.Competitive compensation, site/project allowances, and performance-based incentives.How to apply:Through the following link: https://forms.gle/EDJ1TBsrXs7YqS6o8