S&C GN - MC - Industry X - Intelligent Asset Management - Consultant

Role Overview: As an Industrial AI Consultant specializing in Maintenance & Reliability, your role involves shaping client engagements by identifying business opportunities and driving pilots towards scaled deployments. You are expected to exhibit strong strategic thinking, possess delivery experience on asset-intensive AI projects, and demonstrate the ability to create commercial value cases and executive presentations. While being hands-on with data science and architecture, you will lead AI initiatives such as LLMs, AI agents/copilots, predictive analytics, and operational AI solutions integrated into industrial workflows. Key Responsibilities: - Lead client conversations to define strategic objectives, create prioritization frameworks, and co-design AI-enabled maintenance strategies. - Identify and develop AI use cases across asset management areas (reliability, predictive analytics, maintenance optimization), including building and scaling AI agents/copilots that enhance operational workflows. - Own the end-to-end delivery of analytics use cases (PoC, pilot, scale) in asset management, ensuring alignment to business KPIs and value realization. - Architect data solutions in collaboration with data engineering and IT (data models, ingestion patterns, cloud/edge considerations, integration with EAM/CMMS/historians). - Develop and quantify business cases (financial impacts, KPIs, TCO) and support proposal development and commercial negotiations. - Mentor and review work of junior analysts; provide technical and consulting guidance to ensure delivery quality. - Lead stakeholder engagement with plant operations, maintenance leadership, and executive sponsors; present findings in client workshops and steering committees. - Ensure best practices for responsible AI, governance, and cybersecurity are embedded in solutions. - Support model deployment, monitoring, and lifecycle management (MLOps, MLflow, Airflow). - Contribute to capability building: training, playbooks, reusable accelerators, and thought leadership. Qualification Required: - Bachelor's or Master's degree in a relevant field such as Computer Science, Engineering, or Data Science. - Previous experience in delivering AI projects with a focus on maintenance and reliability in industrial settings. - Proficiency in data science, analytics, and architecture with a hands-on approach. - Strong communication and presentation skills for engaging with clients and internal stakeholders. - Ability to mentor and guide junior analysts to ensure delivery quality. - Knowledge of best practices in responsible AI, governance, and cybersecurity. (Note: No additional details of the company are present in the provided job description.),