Senior Predictive Analytics and Asset Strategy Consultant

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 Smart. Signal 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. Job Description Key Responsibilities Deliver Smart. Signal 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 Smart. Signal. 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 Smart.

Signal 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 we are most interested in your total experience and professional achievements.

Why GE Vernova GE Vernova employees rise to the challenge of building a world that works. We offer competitive benefits that depend on your employment status and national requirements, and we invest in your growth through continued on-the-job learning and development. Additional Information Relocation Assistance Provided: No