[Hiring] Senior Predictive Analytics and Asset Strategy Consultant @GE Vernova

Role Description

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.

Requirements

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

Benefits

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