AI Project Manager in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Project Manager based in India.

This role is a key leadership position focused on driving the successful delivery of enterprise-scale AI and machine learning initiatives across a complex, global organization. The AI Project Manager will act as the central coordination point between business stakeholders, data science teams, engineering groups, and external vendors to ensure seamless execution of AI programs. The position requires strong project management expertise combined with a solid understanding of AI/ML concepts, data pipelines, and model lifecycle management. You will be responsible for translating business objectives into structured delivery roadmaps while ensuring alignment with strategic priorities. Operating in a fast-paced, cross-functional environment, this role demands strong communication, governance, and stakeholder management skills. The impact of this position is significant, enabling the deployment of scalable AI solutions that enhance operational efficiency and innovation across the enterprise.

• Lead the end-to-end delivery of AI/ML projects, including scope definition, planning, budgeting, scheduling, risk management, and dependency tracking.
• Act as the primary liaison between business stakeholders, technical teams, and external vendors to ensure alignment and smooth execution of AI initiatives.
• Manage cross-functional teams including data scientists, AI engineers, solution architects, product owners, and third-party partners.
• Track project performance using KPIs, dashboards, and structured reporting to ensure transparency and delivery accountability.
• Identify, manage, and mitigate risks, issues, and delivery bottlenecks while ensuring timely escalation when needed.
• Coordinate vendor engagements, including scope alignment, delivery oversight, performance evaluation, and contract adherence.
• Support release planning, deployment coordination, and integration of AI solutions into enterprise systems.
• Facilitate governance processes, retrospectives, and continuous improvement initiatives across AI programs.
• Ensure compliance with data privacy, security, regulatory, and ethical AI standards in collaboration with relevant teams.
• Prepare and present executive-level updates, business cases, and post-implementation reviews to senior leadership.
• Drive change management efforts and support user adoption of AI-driven solutions across business units.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• 8+ years of experience in technology project or program management, including 3–5 years focused on AI, ML, or advanced analytics initiatives.
• Proven experience delivering complex, cross-functional projects in global and multi-vendor environments.
• Strong understanding of AI/ML concepts, data workflows, model lifecycle, and deployment processes.
• Experience managing budgets, timelines, risks, dependencies, and executive reporting in enterprise environments.
• Excellent stakeholder management, communication, and negotiation skills.
• Familiarity with enterprise AI applications across industries such as manufacturing, finance, healthcare, or retail is a plus.
• Certifications such as PMP, PRINCE2, or cloud/AI-related credentials are highly desirable.
• Strong analytical thinking with the ability to translate technical complexity into business-friendly communication.
• Ability to operate effectively in a fast-paced, distributed, and cross-functional global environment.

Benefits:

• Competitive compensation aligned with experience and market standards.
• Opportunity to lead high-impact AI transformation initiatives at enterprise scale.
• Hybrid/remote working flexibility depending on project and team requirements.
• Exposure to cutting-edge AI/ML technologies and large-scale digital transformation programs.
• Career growth opportunities within a global, innovation-driven environment.
• Learning and development support, including certifications and technical upskilling.
• Inclusive and collaborative work culture focused on innovation and continuous improvement.