JK Technosoft

Position Overview : We are seeking a Technical Project Manager with strong expertise in AI, Generative AI, Data Engineering, Data Analytics to lead end-to-end delivery of high-impact projects. The ideal candidate will drive project planning, execution, monitoring, and reporting, while collaborating with cross-functional teams to ensure successful delivery of scalable, data-driven, and cloud-native Responsibilities : Project Planning & Execution : - Define project scope, goals, deliverables, timelines, and resource requirements.- Create and maintain detailed project plans, schedules, and milestones.- Drive end-to-end execution of AI/GenAI, Data Engineering, and Cloud projects.Project Tracking & Reporting : - Track progress against KPIs, deliverables, and timelines using project management tools - Provide regular project status updates, dashboards, and executive reports to stakeholders.- Identify risks, issues, and dependencies; define mitigation plans proactively.Stakeholder & Team Management : - Collaborate with engineering, data science, product, and business teams to align priorities and deliver value.- Act as the primary point of contact between technical teams and business stakeholders.- Manage vendor engagements and third-party solution providers, where applicable.Technology Leadership : - Apply understanding of AI/ML, Generative AI (LLMs, NLP, Vision, etc.), Data Engineering, and Cloud architectures to guide teams.- Ensure adherence to best practices in data governance, security, compliance, and scalability.- Promote agile delivery methodologies and DevOps Skills & Qualifications : - Bachelors or Masters degree in Computer Science, Data Engineering, Information Technology, or related field.- 12+ years of total experience, with at least 3+ years in project/program management.- Proven experience delivering AI/ML, GenAI, or Data-driven projects on cloud platforms (AWS, Azure, understanding of : - AI/ML & GenAI technologies (LLMs, NLP, Generative Models, AI frameworks).- Data Engineering (ETL pipelines, data lakes, real-time streaming, big data frameworks like Spark).- Data Analytics & Visualization (BI tools, dashboards, reporting frameworks).- Cloud Services (compute, storage, containerization, serverless, Kubernetes).- Excellent project management skills with hands-on experience in Agile/Scrum/Kanban methodologies.- Strong stakeholder management, communication, and leadership skills.- Certifications such as PMP, CSM, SAFe, or Cloud certifications (AWS/Azure/GCP) are a plus. (ref:hirist.tech)