Advanced Project Engr

Global Engineering Services is the key largescale engineering, productivity, new growth initiative and process standardization enabler for HPS and outside HPS. With the largest skilled engineering pool available to PAS, LSS, HCP and Cyber and ready to expand to other GBEs, GES helps win GMPs and executes them, does design, engineer and execute all the other PAS, LSS, HCI and Cyber projects based out of major engineering centers at India, China, Bucharest and Uzbekistan, helps all the LOBs to carry out engineering and process standardization to improve the engineering quality and productivity and also supports all the LOBs in supporting migrations and long-term service contracts

The Asset Performance Management (APM) Lead will be responsible for design, lead and execute Asset Performance Management (APM) solutions implementation for the Refining, Oil and Gas, Chemical, Power and Mining Industries

Responsibilities

Key Responsibilities

• Lead/Support the technical delivery of the project right from design to closure.
• Create/Support Design documents- FDS, DDS, test procedures and training manuals.
• Lead customer meetings including KOM, design workshops, trainings, and testing.
• Track and manage progress as per schedule. Report progress to all stakeholders on regular basis.
• Design and build performance and analytical models for new equipment types.
• Design and build models for process scenarios.
• Manage customer expectation and ensure delivery within budget and timelines.
• Plan the engineering activities and ensure progress as per plan.
• Address customer issues on time by escalating to the right internal stakeholders
• Follow the Company defined standard practices and methods
• Lead monitoring post Go-Live and work closely with customer on value capture

Qualifications

• 10-12 years’ experience in designing and implementing APM solutions for refining, petrochemical, mining, power, or other chemical industries
• Excellent understanding and knowledge of the unit operations and processes utilized in the chemical process industries.
• Able to build equipment/process performance models using thermodynamic and 1st principles.
• Good understanding of the Industry standards followed in APM space.
• Experience in operations, maintenance & diagnosis of failures for key operating equipment’s like Pumps, Compressors, Turbines, Heat Exchangers, Furnaces and similar rotary/static equipment.
• Understanding and implementation knowledge of APM modules like Reliability Centered Maintenance (RCM), Failure mode and effects analysis (FMEA), Root Cause Analysis (RCA) etc.,
• Working experience of R, Python or other Machine Learning tools.
• Experience in writing SQL queries and stored procedures
• Working experience of integration with other systems using OPC, OLEDB, ODBC and web services.
• Experience in implementing APM using Aspen M-Tell, GE Smart Signal, AVEVA APM, Expert Microsystems SureSense or similar APM solutions.
• Understanding of various Analytic software like SureSense, custom analytic in Python, etc.
• Type of algorithm use for analyzing data & suggest best possible match/result.
• Review history data and suggest when exactly fault has occurred.
• Comfortable to develop analytic algorithm for customized prediction model.
• Interfacing Analytic model with Honeywell or third-party applications for data visualization. 

About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.