Accountabilities

• Lead solution design for enterprise industrial customers, defining how mobile maintenance, SAP PM/EAM, and AI-enabled capabilities support end-to-end maintenance workflows.
• Conduct onsite assessments and discovery workshops with maintenance, reliability, operations, and IT stakeholders to understand current processes and identify transformation opportunities.
• Translate customer requirements and operational realities into clear future-state processes covering work orders, notifications, confirmations, measurements, parts handling, offline execution, and closeout data.
• Act as the design authority for SAP PM integration, maintenance master data, mobile configuration, security roles, and access models.
• Define how AI capabilities can be applied to maintenance workflows, including automated data capture, natural-language access to technical information, agentic automation, and predictive use cases.
• Develop and maintain detailed solution designs and documentation that functional consultants can execute against.
• Review deployed solutions across existing customer accounts, assess alignment with current site operations, and identify design gaps or improvement opportunities.
• Create actionable plans that distinguish configuration, data, training, and design changes, including ownership, sequencing, and estimated effort.
• Identify opportunities to expand digital maintenance capabilities across processes, sites, and customer environments, and quantify their potential business value.
• Build business cases using relevant maintenance KPIs such as wrench time, schedule compliance, backlog health, PM/PdM completion, MTBF, and MTTR.
• Present solution strategies, recommendations, and quantified value propositions to operations and IT executives as well as frontline maintenance teams.
• Coach and enable functional consultants by sharing maintenance-process expertise, architectural reasoning, and practical implementation guidance.
• Support sales and business development teams with technical discovery, solution scoping, proposals, and customer presentations.
• Collaborate across consulting, sales, technical, and subject-matter teams to ensure solutions are practical, scalable, and aligned with customer objectives.
• 
  

Requirements

• 3+ years of hands-on experience in maintenance or reliability operations, such as a maintenance/reliability technician, craft supervisor, or MRO lead within a refinery, plant, mill, mine, or similar industrial environment.
• 5+ years of experience in SAP PM or EAM implementation consulting, including ownership of solution design, onsite process assessments, and gap analysis for industrial customers.
• Demonstrated experience helping industrial sites transition from paper-based work orders to mobile maintenance execution.
• Proven ability to assess live customer environments, identify gaps between deployed solutions and operational realities, and develop plans that other consultants can successfully implement.
• Strong working knowledge of maintenance and repair processes, including notification intake, work-order flows, confirmations, parts management, and closeout data quality.
• Experience defining security roles and access models for maintenance or enterprise systems.
• Ability to develop and communicate quantified business cases to senior operations and IT executives while also engaging effectively with shop-floor teams.
• Working understanding of AI technologies and their practical application in maintenance environments, including large language models, retrieval over technical documentation, agentic automation, and predictive models.
• Bachelor’s degree or equivalent combination of education and hands-on maintenance experience.
• Strong communication, presentation, consulting, stakeholder-management, coaching, and leadership capabilities.
• CMRP, CRL, or equivalent maintenance and reliability certification is preferred.
• Experience with SAP S/4HANA Asset Management and SAP integration patterns such as PO, ECC, and APIs is preferred.
• Familiarity with maintenance performance KPI frameworks, including backlog health, schedule compliance, PM/PdM completion, MTBF, and MTTR, is an asset.
• Hands-on experience with AI-enabled tools such as LLM assistants, equipment and procedure-document retrieval, or predictive models is preferred.
• Experience mentoring technicians, planners, consultants, or other technical professionals is an asset.
• Working Spanish or Portuguese is a plus.
• Must be based in North America and authorized to work there.
• Willingness to travel up to 50%, primarily across North America, with additional EMEA and APAC travel as customer requirements dictate.
• Ability to meet plant, refinery, mine-site safety, security, and access requirements.
•