About the job This exciting opportunity is responsible for providing APM (Asset performance Management) Predictive Maintenance (PdM) support for industrial clients. The purpose of this role is to develop robust analysis in determining assets performance, components, equipment, and processes in accordance with JLL’s enhanced PdM & Asset Management program. Core to the role is the validation of asset data either by physical inspection or review of supplied asset list. The data is then used to continually improve maintenance programs to meet outcome-based performance measures. Responsibilities • Works with client to ensure the accurate PdM, and APM of new and modified installations. The candidate is responsible for adhering to the life cycle asset management (LCAM) process throughout the entire life cycle of new assets. • Participates in the development of design and installation specifications along with commissioning plans. • providing engineering expertise in the application, operation, inspection and maintenance of plant systems and rotating equipment normally associated with oil & gas facilities and optimizing performance of Chemicals, Oil & Gas facilities (upstream, mid-stream, and/or downstream). • preventative and predictive maintenance practices (including software packages such as AVEVA or Smart Signal or its equivalent) for major rotating and static equipment such as compressors and pumps with large prime movers (- gas turbines, steam turbines & motors), Blowers, fans, fired heaters, distillation columns, Transformers, Heat exchangers (including cryogenics). • Hands on experience with conditioned based monitoring for the operating assets, online performance monitoring and diagnostic software solutions. Computerized Maintenance Management Systems a plus • Analyzing plant data with real-time data historians. • Vibration Monitoring systems BN or its equivalent. • Developing and endorsing machinery selection/application and sizing studies • Familiar with data analytics and data science tools • Experience/Trained on RCM methodologies, Reliability Methods (RCM, FMECA etc.) and Reliability Analysis Techniques (Weibull analysis, Reliability growth, etc.). • Building and testing Machinery Behavior Model • Analyzing Historical Failures, Creating Proof of Concept Reports • Tuning Machinery Behavior Model to estimating remaining Useful Life and Management of Alerts. • Professionally and systematically defines, designs, develops, monitors, and refines an asset maintenance plan that includes: o Value-added Predictive Maintenance (PdM) tasks o Effective utilization of predictive and other non-destructive testing methodologies designed to identify and isolate inherent reliability problems • Works with Production to perform analysis of assets including: o Asset utilization o Overall equipment effectiveness o Remaining useful life o Other parameters that define operating condition, reliability, and costs of assets • Provides technical support to production, maintenance management and technical personnel. • Applies value analysis to repair/replace, repair/redesign and make/buy decisions. Education Qualification • B.E/B.Tech (Mechanical Engineering). Other skill sets • Minimum +10 years’ experience in plant maintenance. • Knowledge of condition monitoring techniques. • Certification in vibration is a plus. • Practice of condition monitoring techniques. • Experience in AVEVA Predictive Analytics. • Rotating machinery Fault Analysis • Static equipment Fault analysis • • UPTIME AI prediction tool • Strong Microsoft Excel skills and ability to manipulate large amounts of data accurately using different spreadsheet formats. • Ability to recognize opportunities for process improvements and assist with implementing them. • Ability to engage with client/team stakeholders at senior level. Show more Show less