We are looking for an experienced Project Manager to lead technology-driven and AI-focused projects. The role requires strong project management skills, technical understanding of AI solutions, and the ability to collaborate across cross-functional teams. The Project Manager will be responsible for ensuring projects are delivered on time, within scope, and aligned with business and technical requirements.
Primary Responsibilities
Lead end-to-end project management for technology and AI initiatives, including planning, execution, monitoring, and delivery. Define project scope, objectives, deliverables, and timelines in collaboration with stakeholders. Coordinate cross-functional teams (engineering, data science, product, operations) to ensure smooth execution. Monitor risks, dependencies, and performance metrics, providing solutions to keep projects on track. Communicate progress, challenges, and results clearly to stakeholders and senior leadership. Ensure compliance with ethical, data privacy, and security standards in AI and tech projects. Support adoption and integration of AI tools into existing processes and workflows. Stay updated on emerging technologies and AI trends to provide strategic input for project planning.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or related field. 3–5 years of experience in project management within technology, software, or AI-related projects. Strong understanding of AI concepts (e.g., machine learning, NLP, automation) and their practical applications. Proven track record of delivering complex technical projects on time and within budget. Proficiency with project management tools (e.g., Jira, Asana, Trello, MS Project). Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
Hands-on experience with AI/ML tools, data pipelines, or cloud platforms (AWS, Azure, GCP). Experience working in agile environments and familiarity with DevOps practices. Ability to translate technical concepts into clear business value for non-technical stakeholders.
We are looking for an experienced Project Manager to lead technology-driven and AI-focused projects. The role requires strong project management skills, technical understanding of AI solutions, and the ability to collaborate across cross-functional teams. The Project Manager will be responsible for ensuring projects are delivered on time, within scope, and aligned with business and technical requirements.
Primary Responsibilities
Lead end-to-end project management for technology and AI initiatives, including planning, execution, monitoring, and delivery. Define project scope, objectives, deliverables, and timelines in collaboration with stakeholders. Coordinate cross-functional teams (engineering, data science, product, operations) to ensure smooth execution. Monitor risks, dependencies, and performance metrics, providing solutions to keep projects on track. Communicate progress, challenges, and results clearly to stakeholders and senior leadership. Ensure compliance with ethical, data privacy, and security standards in AI and tech projects. Support adoption and integration of AI tools into existing processes and workflows. Stay updated on emerging technologies and AI trends to provide strategic input for project planning.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or related field. 3–5 years of experience in project management within technology, software, or AI-related projects. Strong understanding of AI concepts (e.g., machine learning, NLP, automation) and their practical applications. Proven track record of delivering complex technical projects on time and within budget. Proficiency with project management tools (e.g., Jira, Asana, Trello, MS Project). Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
Hands-on experience with AI/ML tools, data pipelines, or cloud platforms (AWS, Azure, GCP). Experience working in agile environments and familiarity with DevOps practices. Ability to translate technical concepts into clear business value for non-technical stakeholders.