Technical Project Manager

looking for an experienced Technical Project Manager with deep exposure to AI, Generative AI, Data Engineering, and Data Analytics to lead the end-to-end delivery of complex, high-impact technology initiatives. This role requires strong project leadership, technical understanding, and the ability to collaborate with cross-functional teams to deliver scalable, cloud-native, data-driven solutions.

Key Responsibilities

Project Planning & Delivery

• Define project scope, objectives, deliverables, timelines, and resource plans

• Create and manage detailed project plans, schedules, and milestones

• Drive end-to-end execution of AI/GenAI, Data Engineering, and Cloud projects

• Ensure projects are delivered on time, within scope, and within budget

Project Tracking & Reporting

• Track progress against KPIs, timelines, and deliverables using project management tools

• Prepare and share regular project status reports, dashboards, and executive updates

• Identify risks, dependencies, and issues early and implement mitigation strategies

Stakeholder & Team Management

• Collaborate with engineering, data science, product, and business teams to align priorities

• Act as the primary liaison between technical teams and business stakeholders

• Manage vendor relationships and third-party partners when required

Technical & Delivery Leadership

• Apply working knowledge of AI/ML, Generative AI (LLMs, NLP, Vision), Data Engineering, and Cloud architectures to guide delivery teams

• Ensure adherence to best practices in data governance, security, compliance, and scalability

• Promote Agile methodologies, DevOps practices, and continuous improvement

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field

• 9+ years of overall experience, including 3+ years in project or program management

• Proven experience delivering AI/ML, Generative AI, or data-driven projects on cloud platforms such as AWS, Azure, or GCP

• Strong understanding of:

  • AI/ML & GenAI technologies (LLMs, NLP, generative models, AI frameworks)

  • Data Engineering (ETL pipelines, data lakes, streaming systems, big data frameworks like Spark)

  • Data Analytics & Visualization (BI tools, dashboards, reporting)

  • Cloud platforms (compute, storage, containerization, serverless, Kubernetes)

• Hands-on experience with Agile / Scrum / Kanban methodologies

• Excellent leadership, communication, and stakeholder management skills

• Project management or cloud certifications (PMP, CSM, SAFe, AWS/Azure/GCP) are a plus

Nice to Have

• Experience managing AI/ML lifecycle, MLOps, or GenAIOps

• Exposure to data privacy, regulatory compliance, and ethical AI frameworks

• Experience working with global, distributed teams

Tagged as: Full Time