Sr Adv Appl/Sys Sales Engineer
Honeywell · Tokyo
The Technical Solutions Consultant is the trusted advisor at the center of this shift. You will partner with our Account Managers, Product, Operations and Marketing teams to position the full Honeywell Connected Industrial Solutions portfolio — process simulation, Advanced Process Control, operator training, process historian, production accounting, alarm management, asset performance management, and AI/analytics — and translate them into quantified business outcomes for our customers in Refining, Petrochemicals, Chemicals, Oil & Gas, Power, and Mining & Metals [Japan region].
This is a high‑visibility, customer‑facing role for someone who can sit equally well with a plant manager, a control‑room engineer, a CIO and a CFO — and tell a credible, evidence‑based digital‑wins story to each.
Honeywell 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.
The process industries are entering their most consequential transformation in a generation. Industrial AI, agentic decision support, hybrid first‑principles + machine‑learning models, autonomous operations, and the convergence of OT and IT are shifting the conversation from "automation" to "autonomy" — and from point tools to enterprise‑wide digital programs. At the same time, refiners, petrochemical producers, miners and power operators across Asia Pacific are under pressure to decarbonize, extend asset life, close the experienced‑operator gap, and convert mountains of historian data into measurable margin.
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