Product Management Lead

You are sought after to assume the role of a strategic and technically fluent Technical Expert / Product Manager in charge of spearheading the development of our Industrial Data Platform, focusing on AI/ML-driven intelligence autonomous operations and agentic AI capabilities. This platform is instrumental in driving next-generation industrial applications across O&G verticals, facilitating predictive insights, autonomous decision-making, and intelligent agents that engage with intricate industrial systems encompassing reliability, process digital twins, and operations. Your key responsibilities will include: Driving product development and commercialization, involving strategy formulation, market research, and customer engagement for Honeywell's Industrial Data Platform. Defining business requirements for platform capabilities, such as edge connectivity, time-series data, digital twins, and AI/ML integration. Implementing scalable features for AI/ML model deployment, forecasting, anomaly detection, computer vision, and edge AI inference. Leading the development of agentic AI interfaces, data ingestion, contextualization, and semantic modeling tailored for industrial use cases. Designing a scalable data lake house architecture optimized for AI workloads. Overseeing the product lifecycle roadmap, pricing strategies, and go-to-market execution. Collaborating with engineering, technology, marketing, and sales teams to deliver innovative solutions leveraging AI/ML, digital twins, and industrial data integration. Engaging customers through advisory forums and support channels, gathering feedback, and promptly responding to their needs. Keeping abreast of industry trends and competition dynamics to optimize pricing and enable scalable autonomous operations that yield measurable business outcomes. Establishing key performance indicators (KPIs) to monitor adoption rates and revenue impact effectively. Qualifications you should possess: In-depth knowledge of SaaS business models, customer success strategies, and technical product management, with a minimum of 3 years of relevant experience. A solid understanding of industrial applications, OT/IT/ET integration, data protocols (OPC UA, MQTT), and Agile methodologies. Hands-on experience with cloud platforms, MLOps, UI/UX design. Proficiency in cross-functional teamwork, communication, and creative problem-solving. Hold a Bachelor's degree in Engineering. Proficient in AI/ML frameworks (TensorFlow, PyTorch), MLOps tools, and major cloud platforms (Azure, AWS, GCP). Familiarity with agentic AI, digital twins, and autonomous decision systems. Knowledgeable about AI safety, ethics, and regulatory standards within industrial settings. You are sought after to assume the role of a strategic and technically fluent Technical Expert / Product Manager in charge of spearheading the development of our Industrial Data Platform, focusing on AI/ML-driven intelligence autonomous operations and agentic AI capabilities. This platform is instrumental in driving next-generation industrial applications across O&G verticals, facilitating predictive insights, autonomous decision-making, and intelligent agents that engage with intricate industrial systems encompassing reliability, process digital twins, and operations. Your key responsibilities will include: Driving product development and commercialization, involving strategy formulation, market research, and customer engagement for Honeywell's Industrial Data Platform. Defining business requirements for platform capabilities, such as edge connectivity, time-series data, digital twins, and AI/ML integration. Implementing scalable features for AI/ML model deployment, forecasting, anomaly detection, computer vision, and edge AI inference. Leading the development of agentic AI interfaces, data ingestion, contextualization, and semantic modeling tailored for industrial use cases. Designing a scalable data lake house architecture optimized for AI workloads. Overseeing the product lifecycle roadmap, pricing strategies, and go-to-market execution. Collaborating with engineering, technology, marketing, and sales teams to deliver innovative solutions leveraging AI/ML, digital twins, and industrial data integration. Engaging customers through advisory forums and support channels, gathering feedback, and promptly responding to their needs. Keeping abreast of industry trends and competition dynamics to optimize pricing and enable scalable autonomous operations that yield measurable business outcomes. Establishing key performance indicators (KPIs) to monitor adoption rates and revenue impact effectively. Qualifications you should possess: In-depth knowledge of SaaS business models, customer success strategies, and technical product management, with a minimum of 3 years of relevant experience. A solid understanding of industrial applications, OT/IT/ET integration, data protocols (OPC UA, MQTT), a