Project Manager - AI ML

Key Responsibilities

• Serve as the primary liaison between business users and data science/AI teams to gather, clarify, and translate use cases into actionable project plans.
• Lead end-to-end execution of AI and data science projects – from requirement gathering, scoping, and planning to delivery and stakeholder alignment.
• Translate technical outputs into business-friendly insights using clear narratives, data storytelling, and visual presentation tools.
• Collaborate with UI/UX teams using Figma or similar tools to conceptualize user flows and interfaces for AI/ML products.
• Prepare and maintain project documentation, timelines, resource plans, and stakeholder updates.
• Identify potential project risks and mitigation strategies, ensuring that delivery stays on track.
• Help prioritize features, model iterations, or product components based on business value and feasibility.
• Assist with user acceptance testing (UAT) and ensure delivered solutions align with original business objectives.

Required Qualifications

• 4+ years of experience managing data science, AI/ML, or analytics projects in a fast-paced environment.
• PMP certification (Project Management Professional) is mandatory.
• Exceptional communication, storytelling, and stakeholder management skills.
• Good understanding of data science and AI workflows and ability to interact confidently with technical teams.
• Hands-on experience using Figma or other wireframing/design tools for ideating product interfaces.
• Strong documentation skills – requirements specs, timelines, status reports, etc.

Preferred Skills

• Familiarity with machine learning, LLMs, or AI solution lifecycle (e.g., from PoC to production).
• Experience with Agile/Scrum methodologies.
• Exposure to cloud platforms such as Azure, AWS, or GCP.
• Understanding of APIs, data pipelines, and model deployment basics.
• Ability to work with cross-functional teams (data scientists, ML engineers, designers, product owners).