AI/ML Technical Project Manager

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Position Overview:

Technical Project Manager

Key Responsibilities:

• Project Planning & Delivery: Define objectives, scope, deliverables, and timelines. Develop and monitor detailed project plans to ensure on-time delivery.
• Cross-Functional Collaboration: Work closely with engineering, data science, and product teams to ensure technical feasibility and optimal resource utilization.
• Stakeholder Engagement: Act as the primary point of contact for stakeholders, delivering clear progress updates, highlighting risks, and tracking key milestones.
• Risk & Issue Management: Identify potential risks, devise mitigation strategies, and ensure project continuity.
• Agile Leadership: Drive Agile or hybrid methodologies, including sprint planning, retrospectives, and daily stand-ups.
• Documentation & Reporting: Maintain comprehensive documentation and deliver regular progress reports to leadership.
• Quality & Standards: Partner with QA teams to ensure deliverables meet the highest quality and user expectations.
• Budget & Resource Oversight: Manage budgets, resource allocation, and vendor relationships efficiently.

Experience:

• 10–14 years in software development projects.
• 8+ years in technical project management.
• Technical Knowledge: Strong understanding of AI/ML technologies, cloud platforms, and software development lifecycle (SDLC).
• Tools & Methodologies: Proficiency in Jira, Trello, Asana, or similar tools; well-versed in Agile, Scrum, and/or Kanban.
• Core Skills: Excellent problem-solving, decision-making, and communication skills, with the ability to bridge technical and non-technical audiences.

Preferred Skills

• Experience managing AI/ML or data science projects.
• Certifications such as PMP, PMI-ACP, or CSM.
• Familiarity with programming languages (Python, Java, ReactJS, JavaScript, etc.).
• Experience in startup or high-growth environments.