The Role
Leads the design, implementation, and delivery of Asset Performance Management solutions for industrial process industries. Responsibilities include developing equipment and process performance models, creating technical documentation, managing customer workshops and testing, tracking project progress, resolving issues, and supporting post-go-live value capture. Requires extensive APM experience, industrial equipment and process knowledge, predictive analytics, machine learning, SQL, system integration, and familiarity with leading APM platforms.
Summary Generated by Built In
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
ResponsibilitiesKey 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
- 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.
Skills Required
- 10-12 years of experience designing and implementing Asset Performance Management solutions for refining, petrochemical, mining, power, or chemical industries
- Excellent understanding of unit operations and processes in chemical process industries
- Ability to build equipment and process performance models using thermodynamic and first-principles methods
- Understanding of industry standards used in Asset Performance Management
- Experience with operations, maintenance, and failure diagnosis for pumps, compressors, turbines, heat exchangers, furnaces, and similar equipment
- Understanding and implementation experience with Reliability Centered Maintenance, Failure Mode and Effects Analysis, and Root Cause Analysis
- Experience using R, Python, or other machine learning tools
- Experience writing SQL queries and stored procedures
- Experience integrating systems using OPC, OLEDB, ODBC, and web services
- Experience implementing APM using Aspen M-Tell, GE SmartSignal, AVEVA APM, Expert Microsystems SureSense, or similar platforms
- Understanding of analytics software, including SureSense and custom Python analytics
- Knowledge of algorithms for analyzing data and recommending matches or results
- Ability to review historical data and identify when faults occurred
- Ability to develop customized predictive analytics models
- Experience interfacing analytical models with Honeywell or third-party visualization applications
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement benefits are anchored by a strong 401(k) match with clear vesting and annual funding mechanics. Plan administration and education resources further reinforce long‑term savings support.
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Leave & Time Off Breadth — Time away provisions include company holidays, flexible vacation for many exempt roles, and paid sick time. These policies contribute meaningful breadth beyond base pay.
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Parental & Family Support — Paid parental leave is available to all parents with flexible usage options, and certain family‑building supports are included. Birth mothers can coordinate leave with short‑term disability for extended coverage.
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The Company
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
