BCSector-P and U- EAM-Senior Professional

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Senior Consultant - IBM Maximo / MAS 9 / APM / AI

Senior Consultant

Experience - 6+ years

Hands-on MAS 9 delivery, integrations, APM and AI-enabled EAM solutions

Role overview

We are seeking an experienced IBM Maximo techno-functional Senior Consultant to design, configure, integrate, test, and support modern Enterprise Asset Management solutions. The candidate should combine strong Maximo delivery experience with practical exposure to IBM Maximo Application Suite 9, Asset Performance Management, analytics, and AI-enabled maintenance use cases.

Key responsibilities

• Design technical and functional solutions across asset, work, inventory, procurement, service, safety, and reliability processes.
• Configure and extend MAS 9 applications using Maximo configuration tools, automation scripts, workflows, security groups, application designer, domains, database configuration, and reporting.
• Develop and support integrations with SAP or other ERP platforms, GIS, SCADA/IoT, document management, mobile, condition-monitoring, and external data platforms using APIs, MIF, event-driven patterns, and middleware.
• Prepare solution designs, configuration workbooks, interface specifications, data-migration mappings, test scripts, deployment documentation, and production-support knowledge articles.
• Plan and execute unit, system, integration, regression, performance, and user-acceptance testing; investigate defects and support release deployment.
• Support APM use cases including asset health, condition monitoring, criticality, risk-based maintenance, predictive maintenance, failure analysis, and maintenance-strategy optimization.
• Collaborate directly with client stakeholders, product owners, architects, developers, testers, and functional teams; provide guidance to junior team members.
• Identify and prioritize AI-enabled EAM use cases such as predictive maintenance, anomaly detection, work-order triage, failure-mode recommendations, technician copilots, intelligent document processing, and asset-risk forecasting.
• Translate maintenance and reliability problems into governed AI/ML or generative AI solution designs, including business value, data requirements, human oversight, explainability, and measurable success criteria.
• Work with data scientists and engineers to curate asset, work-order, condition-monitoring, failure, and maintenance-history data for model development, validation, and operational deployment.
• Design responsible AI controls covering data privacy, cybersecurity, role-based access, model validation, prompt and output testing, hallucination controls, auditability, and human-in-the-loop approvals.
• Use AI-assisted delivery approaches to accelerate requirements analysis, configuration documentation, automation-script modernization, test-case generation, defect analysis, knowledge transfer, and user support.

Required experience and qualifications

• 6+ years of EAM experience with mid-to-large IBM Maximo implementations, upgrades, or support engagements; experience with Maximo 7.6.x and exposure to MAS 8/9.
• Hands-on knowledge of Maximo Manage and at least one related area such as Mobile, Monitor, Health, Predict, Scheduler, Spatial, or industry solutions.
• Working knowledge of APM concepts, reliability-centered maintenance, asset criticality, condition-based maintenance, and predictive maintenance.
• Experience with Java, Python or JavaScript, automation scripting, SQL, REST APIs, integration frameworks, and relational databases.
• Understanding of AI/ML and generative AI fundamentals, data quality, model evaluation, responsible AI, and practical EAM use cases.
• Strong client communication, analytical, documentation, presentation, and problem-solving skills.

Preferred experience

• IBM Maximo/MAS certification or relevant IBM badges.
• Experience in utilities, power generation, oil and gas, manufacturing, transportation, civil infrastructure, healthcare, or telecommunications.
• Exposure to cloud, container platforms, Red Hat OpenShift, DevSecOps, observability, and automated testing.

What success looks like

• Consistently delivers secure, scalable, supportable, and business-aligned MAS 9 solutions.
• Converts APM, analytics, and AI opportunities into measurable improvements in reliability, safety, cost, productivity, and asset availability.
• Builds trusted client relationships and strengthens team capability through collaboration, mentoring, and knowledge sharing.

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