{"id":1272961,"url":"https://alion.io/job/metasysinc-senior-apm-solution-architect","title":"Senior APM Solution Architect","company":{"id":678275,"name":"Metasys","domain":"metasysinc.com","url":"https://alion.io/company/metasysinc","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly 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practices, and governance frameworks for APM implementations.\n\nAPM Platform Development & Implementation : \n\n- Lead the development and deployment of custom APM applications and solutions.\n\n- Configure and implement leading COTS APM platforms such as IBM Maximo APM, GE Digital APM, AVEVA APM, SAP APM, AspenTech, or similar solutions.\n\n- Design frameworks for asset health monitoring, anomaly detection, root cause analysis, and predictive maintenance.\n\n- Support enterprise-wide APM transformation initiatives and roadmap development.\n\nManufacturing & Industrial Integration : \n\n- Integrate APM solutions with manufacturing systems including MES, SCADA, PLC, Historian, ERP, CMMS, and IoT platforms.\n\n- Collaborate with plant operations and maintenance teams to identify critical asset management requirements.\n\n- Develop asset reliability models and maintenance strategies to improve equipment uptime and operational efficiency.\n\n- Ensure seamless data flow between shopfloor systems and enterprise applications.\n\nData & Analytics : \n\n- Design data architectures that enable real-time monitoring and predictive analytics.\n\n- Leverage machine learning, AI, and advanced analytics for asset performance optimization.\n\n- Develop dashboards, KPIs, and reporting frameworks to measure asset reliability and operational performance.\n\n- Enable data-driven decision-making through actionable insights and performance analytics.\n\nStakeholder & Project Leadership : \n\n- Engage with business leaders, plant managers, reliability engineers, and IT teams to define solution requirements.\n\n- Lead cross-functional teams during solution design, implementation, testing, and deployment phases.\n\n- Provide technical leadership, mentoring, and guidance to development and engineering teams.\n\n- Manage vendor relationships and coordinate with external implementation partners.\n\nRequired Skills : \n\nTechnical Skills : \n\n- Strong expertise in Asset Performance Management (APM) architecture and implementation.\n\n- Experience with leading APM platforms such as IBM Maximo APM, GE Digital APM, SAP APM, AVEVA APM, AspenTech, or equivalent.\n\n- Knowledge of predictive maintenance, reliability engineering, asset health monitoring, and condition-based maintenance.\n\n- Experience integrating APM solutions with MES, ERP, CMMS, SCADA, PLC, and Historian systems.\n\n- Strong understanding of Industrial IoT (IIoT) architectures and manufacturing technologies.\n\n- Experience with cloud platforms such as Azure, AWS, or GCP.\n\n- Proficiency in data integration, APIs, microservices, and enterprise application architecture.\n\n- Knowledge of AI/ML applications in asset reliability and predictive analytics.\n\nManufacturing Domain Expertise : \n\n- Strong understanding of manufacturing shopfloor operations and industrial processes.\n\n- Experience supporting industries such as Automotive, Industrial Manufacturing, Energy, Chemicals, Pharmaceuticals, or Consumer Goods.\n\n- Knowledge of maintenance operations, reliability engineering, and operational excellence frameworks.\n\nQualifications : \n\n- Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Industrial Engineering, or a related field.\n\n- 10+ years of overall experience in enterprise architecture, manufacturing technology, industrial automation, or APM implementations.\n\n- Relevant certifications in cloud technologies, enterprise architecture, reliability engineering, or APM platforms are preferred.\n\nPreferred Qualifications : \n\n- Experience leading large-scale digital manufacturing transformation initiatives.\n\n- Exposure to Industry 4.0, Smart Factory, and Industrial IoT programs.\n\n- Experience working with global manufacturing organizations.\n\n- Knowledge of cybersecurity practices for industrial environments.\n\n- Familiarity with Agile, DevOps, and enterprise integration methodologies.\nSkills\nAPM, Solution Design, Solution Architect, 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