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Job Summary We are seeking a highly skilled and experienced PLM Program Manager to join our team. This role will be responsible for managing and driving PLM programs, ensuring successful implementation and alignment with business objectives. The ideal candidate will possess a strong background in Project Management and a proven ability to lead cross-functional teams. Key Responsibilities The PLM Program Manager will be responsible for the following: Managing the entire lifecycle of PLM programs, from initiation to successful completion. Providing PLM Transition Support to ensure a smooth and efficient transition. Facilitating Change Management initiatives related to PLM implementations. Developing and maintaining PLM Dashboards to track progress and identify areas for improvement. Creating and delivering Training materials and sessions to support PLM adoption. Required Skills & Qualifications To be considered for this role, candidates must possess the following skills and qualifications: Project Management : Demonstrated ability to manage complex projects, define scope, develop timelines, and allocate resources effectively. Enovia : Proficiency in using Enovia for PLM data management and collaboration. Requirements Maturity : A deep understanding of requirements management principles and the ability to assess and improve requirements maturity. Risk Mitigation : Proven ability to identify, assess, and mitigate risks associated with PLM programs. Requirements Elicitation : Expertise in gathering and documenting requirements from diverse stakeholders. Testing : Experience in developing and executing test plans to ensure the quality and functionality of PLM systems. Demo : Ability to create and deliver compelling demonstrations of PLM capabilities. Engineering Release Process : A thorough understanding of engineering release processes and how they integrate with PLM . Cross Functional Collaboration : Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams. Data Processing : Experience in processing and analyzing data to support PLM decision-making. Benchmarking : Ability to conduct benchmarking studies to identify best practices in PLM implementation. ProPM : Familiarity with ProPM methodologies for project management. Task Management : Strong organizational skills and the ability to effectively manage tasks and priorities. Systematic Reporting : Ability to generate clear and concise reports to communicate program status and key metrics. Communication : Excellent written and verbal communication skills. Stakeholder Management : Ability to build and maintain strong relationships with stakeholders at all levels. Customer Expectations Management : Ability to understand and manage customer expectations related to PLM programs. Experience Required: 6 - 8 years of relevant experience in PLM program management. This level of experience indicates a seasoned professional capable of independently managing complex programs and providing guidance to others. What We Offer Salary:
Job Summary We are seeking a highly skilled and experienced SAFe Release Training Engineer to join our team. This role will be responsible for delivering and supporting training related to the SAFe framework, ensuring alignment with our organizational goals and fostering a culture of continuous improvement. The ideal candidate will possess a strong understanding of Agile methodologies and a proven ability to facilitate and communicate complex concepts effectively. Key Responsibilities While specific responsibilities are not provided, this role will focus on delivering and supporting training related to the SAFe framework. Required Skills & Qualifications Educational Background: A Bachelor’s degree in engineering, computer science, or a related discipline is required. Agile Methodologies: Demonstrated proficiency in Agile principles and practices, with a strong understanding of their application in software development. Scrum Framework: Solid knowledge of the Scrum framework, including sprint planning, daily scrums, sprint reviews, and sprint retrospectives. Kanban Principles: Familiarity with Kanban principles and their application in visualizing workflow, limiting work in progress, and managing flow. SAFe Framework: Extensive experience with the SAFe (Scaled Agile Framework), including its various levels, roles, and events. Program Management: Ability to apply Program Management principles to effectively manage and coordinate training initiatives. Stakeholder Management: Proven ability to effectively manage Stakeholder expectations and communicate progress clearly. Executive Communication: Excellent communication skills, with the ability to present complex information to Executive audiences. Facilitation Skills: Strong Facilitation skills, with the ability to lead engaging and productive training sessions. Conflict Resolution: Ability to effectively mediate and resolve Conflict situations that may arise during training or implementation. Data Analysis: Ability to leverage Data Analysis techniques to assess training effectiveness and identify areas for improvement. Continuous Improvement: A commitment to Continuous Improvement and a passion for finding ways to optimize processes and outcomes. Technical Skills: Proficiency with Azure DevOps , Jira , and Power BI for managing training materials, tracking progress, and analyzing data. Embedded Systems: Familiarity with Embedded Systems concepts. Linux: Working knowledge of Linux operating systems. RTOS: Understanding of RTOS (Real-Time Operating Systems). IoT Platform Development: Exposure to IoT Platform Development principles. Experience: 8 - 8 years of relevant experience are required. This indicates a senior-level role requiring significant expertise and a proven track record of success in a related field. What We Offer Salary: Not provided.
Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. What We Offer Salary:
Job Summary We are seeking a skilled and experienced PLM Functional Consultant to join our team in Pune. This is an onsite position within the IT / Technology industry. The role will focus on providing functional expertise and support for our PLM systems. Key Responsibilities The PLM Functional Consultant will be responsible for a range of tasks related to the implementation, support, and optimization of our PLM solutions. This includes gathering requirements, conducting testing, and providing user training. Required Skills & Qualifications PLM Expertise: Demonstrated proficiency in PLM principles and practices. Enovia Proficiency: Strong working knowledge of Enovia , including configuration and administration. Unified Product Structure Management: Ability to manage and maintain Unified Product Structure data within the PLM system. Change Management : Experience with Change Management processes within a PLM environment, ensuring controlled and documented changes. BOM Management : Expertise in managing BOM (Bill of Materials) data and processes within the PLM system. CAD Process Understanding: A solid understanding of CAD processes and their integration with PLM . User Trainings : Ability to develop and deliver effective user trainings on PLM systems and processes. Requirement Gathering : Proven ability to effectively gather and document requirements from stakeholders. UAT Testing : Experience conducting UAT (User Acceptance Testing) to ensure system functionality meets requirements. CAD-PLM-ERP Integration : Knowledge of integrating CAD , PLM , and ERP systems. CAD Software Proficiency: Experience with various CAD software including Creo , SolidWorks , and NX . ERP Systems: Familiarity with ERP systems and their interaction with PLM . PDH System : Understanding of PDH (Product Data Management) principles and systems. 3Dexperience : Experience with 3Dexperience platform is a plus. Part Creation : Ability to manage and understand part creation processes within the PLM system. Experience Required: 6 - 8 years of relevant experience in a PLM functional consulting role. This level of experience indicates a seasoned professional capable of independently managing projects and providing expert guidance. What We Offer Salary: Not provided.
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