Job Description Summary
Use Predictive Analytics to Help Power Plants, Refineries and Mines Spot Equipment Problems Early
You will be the main technical contact for industrial clients who use SmartSignal predictive analytics to detect equipment faults before they cause unplanned downtime. As a senior individual contributor in our Digital Implementation Services team at GE Vernova, you take projects from the first workshop to go-live. You work with reliability engineers, data specialists and functional consultants, and you report to the Services Consulting Director.
Key Responsibilities
•Deliver SmartSignal implementations. Take each project from asset scoping to go-live. Report results against client targets, such as lower unplanned downtime and higher asset availability.
•Build and tune predictive models. Define health indicators, alert thresholds and diagnostic logic for rotating and process equipment.
•Design data integration. Map tags and build data pipelines between plant historians, sensors and SmartSignal. Resolve false alarm and data quality issues.
•Connect reliability methods to monitoring. Turn Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis (RCA) results into monitoring scope. Help clients use alerts in their maintenance workflows.
•Advise clients and support growth. Run workshops and executive reviews, explain findings in clear, non-technical language, and contribute to proposals and proof-of-concept projects.
Work Model and Travel
You work remotely and travel to client project sites as projects require.
Qualifications
You are an experienced reliability or analytics professional who turns plant data into decisions that clients trust.
Required
•Fluent Russian and English (Russian is essential for this role)
•10+ years in asset performance management, reliability engineering or industrial predictive analytics
•Hands-on experience configuring and deploying SmartSignal or a similar condition monitoring platform
•Working knowledge of FMEA, Reliability Centered Maintenance (RCM), RCA, historian data and tag mapping
•Client-facing experience, including executive presentations and workshops
Preferred
•Delivery across multiple client sites in at least two of these sectors: oil and gas, petrochemicals, mining, power or nuclear
•Experience mentoring colleagues informally
Education
A formal education and subsequent Bachelor or Master's degree in Engineering, Data Science or a related field is nice to have, but the company is most interested in total experience and professional achievements.
Additional Information
Relocation Assistance Provided: No
