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 toolsProvide 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)