03.06.2026 aktualisiert
100 % verfügbar
Senior Product Manager (Technical) | Digital Platforms & AI Systems
Singapore, Singapur
Nur Remote
BE - Computer Science, CMR College of Engineering & Technology, 2017, IndiaSkills
Intelligent Platform Management InterfaceSoftware-ProduktmanagementEnterprise Application PlatformCloud PlatformDigitale Produkte
AI & Machine Learning
Expertise in Machine Learning, Deep Learning, NLP, Computer Vision, Time-Series Modeling, Predictive Analytics, and MLOps. Development of advanced ML models and time-series data pipelines, improving model performance by 20-35% through data preprocessing, feature engineering, and controlled experimentation.
Cloud & Infrastructure
Proficiency in AWS, Azure, and GCP, containerisation using Docker and Kubernetes, and CI/CD pipeline design. Implementation of scalable containerized architectures achieving greater than 99.9% system availability and reducing deployment failures by approximately 40%.
Digital Platform Product Management
End-to-end product lifecycle ownership from conceptualisation, architecture, development, and implementation to execution and market deployment. Leadership of enterprise digital platforms across battery analytics, fleet management, compliance, and energy systems, improving platform uptime to greater than 99.9%.
Data & Analytics
Design and operation of data lakes, ETL pipelines, and Tableau dashboards. Architecture of unified global data lakes supporting multi-region deployments, enterprise analytics, reporting, and executive dashboards.
ERP & MES Integration
Integration of ERP and MES systems into digital product ecosystems, improving manufacturing visibility, data accuracy, and operational scalability across production environments.
Security & Governance
Implementation of ISO 27001, ISO 21434, data privacy, and compliance frameworks. Experience as Data Protection Officer (DPO) and leadership of DevSecOps best practices, reducing security incidents and audit findings.
DevOps & CI/CD
Design and maintenance of Jenkins-based CI/CD pipelines, streamlining deployments by 80% through automated workflows and cloud infrastructure optimization, reducing release failures by approximately 40%.
Programming Languages & Frameworks
Hands-on coding capability in Python, Java, Node.js, Bash, Powershell, and MERN Stack, contributing directly to backend services, data pipelines, APIs, and cloud-native architecture.
Enterprise Systems & IoT Platforms
Experience with ERP, MES, and IoT platforms, enabling real-time monitoring across thousands of assets and devices through scalable data ingestion and analytics platforms.
Expertise in Machine Learning, Deep Learning, NLP, Computer Vision, Time-Series Modeling, Predictive Analytics, and MLOps. Development of advanced ML models and time-series data pipelines, improving model performance by 20-35% through data preprocessing, feature engineering, and controlled experimentation.
Cloud & Infrastructure
Proficiency in AWS, Azure, and GCP, containerisation using Docker and Kubernetes, and CI/CD pipeline design. Implementation of scalable containerized architectures achieving greater than 99.9% system availability and reducing deployment failures by approximately 40%.
Digital Platform Product Management
End-to-end product lifecycle ownership from conceptualisation, architecture, development, and implementation to execution and market deployment. Leadership of enterprise digital platforms across battery analytics, fleet management, compliance, and energy systems, improving platform uptime to greater than 99.9%.
Data & Analytics
Design and operation of data lakes, ETL pipelines, and Tableau dashboards. Architecture of unified global data lakes supporting multi-region deployments, enterprise analytics, reporting, and executive dashboards.
ERP & MES Integration
Integration of ERP and MES systems into digital product ecosystems, improving manufacturing visibility, data accuracy, and operational scalability across production environments.
Security & Governance
Implementation of ISO 27001, ISO 21434, data privacy, and compliance frameworks. Experience as Data Protection Officer (DPO) and leadership of DevSecOps best practices, reducing security incidents and audit findings.
DevOps & CI/CD
Design and maintenance of Jenkins-based CI/CD pipelines, streamlining deployments by 80% through automated workflows and cloud infrastructure optimization, reducing release failures by approximately 40%.
Programming Languages & Frameworks
Hands-on coding capability in Python, Java, Node.js, Bash, Powershell, and MERN Stack, contributing directly to backend services, data pipelines, APIs, and cloud-native architecture.
Enterprise Systems & IoT Platforms
Experience with ERP, MES, and IoT platforms, enabling real-time monitoring across thousands of assets and devices through scalable data ingestion and analytics platforms.
Sprachen
EnglishMuttersprache
Projekthistorie
Own end-to-end product strategy and execution, leading platforms from conceptualisation and development through implementation, scaling, and go-to-market for enterprise digital solutions supporting battery analytics, fleet management, compliance, and energy systems. Led IT and Digital initiatives across Singapore, China, Thailand, the Netherlands, Germany, and the United States. Architected a unified global data lake, improved platform uptime to greater than 99.9%, reduced manual operations by 30-50%, led Battery Passport development, integrated ERP and MES systems, and acted as Data Protection Officer (DPO) leading ISO 27001 implementation.
Delivered end-to-end AI/ML and DevOps consulting for enterprise clients, combining hands-on engineering with strategic advisory to build scalable, secure, and data-driven digital platforms. Engineered machine learning models and time-series data pipelines improving prediction accuracy by 20-30%. Designed data-driven solution frameworks leveraging enterprise platforms and APIs. Led DevOps transformation initiatives, streamlining deployments by 80% through automated CI/CD pipelines. Implemented containerized, scalable architectures using Docker and Kubernetes achieving greater than 99.9% uptime. Established security standards and DevSecOps best practices.
Led a cross-functional team focused on Crypto platforms and DevOps, delivering portfolio-centric blockchain solutions. Streamlined deployments by 80% through automated CI/CD workflows. Designed and maintained resilient CI/CD pipelines using Jenkins, reducing deployment failures by approximately 40%. Implemented scalable containerized architectures using Docker and Kubernetes achieving greater than 99.9% system availability. Strengthened platform security posture by defining and enforcing DevSecOps standards. Engineered machine learning models and time-series data pipelines improving prediction accuracy by 20-30%.