Responsibilities
The Project Manager will be responsible for overseeing the planning, execution, and delivery of complex projects involving data science, AI, and ML.
The ideal candidate will have a strong background in project management, coupled with technical expertise in AI and ML, to effectively coordinate cross-functional teams and ensure successful project outcomes.
• Develop comprehensive project plans, including scope, timelines, resources, and budgets.
• Define project milestones, deliverables, and success criteria.
• Manage project risks, issues, and dependencies.
• Lead cross-functional teams comprising data scientists, AI / ML engineers, software developers, and other stakeholders.
• Facilitate effective communication and collaboration among team members.
• Provide guidance, support, and mentorship to team members.
• Act as the primary point of contact for project stakeholders, including clients, senior management, and other key partners.
• Communicate project status, progress, and risks to stakeholders.
• Manage stakeholder expectations and ensure alignment with project goals.
• Oversee the design, development, and implementation of AI and ML models and solutions.
• Ensure the quality and accuracy of data used in AI / ML projects.
• Stay updated with the latest advancements in AI, ML, and data science technologies.
• Monitor project budgets and ensure optimal allocation of resources.
• Identify and address any resource constraints or bottlenecks.
• Ensure projects are delivered on time and within budget.
Qualifications
• Bachelors Degree in Business Administration, Engineering, Computer Science, or a related field.
• PMP certification.
• 5+ years of experience in project management.
• Strong communication, management, and leadership skills.
• Experience in using project management tools.
• Understanding of project management approaches, such as Agile and Waterfall.
• Experience in managing multi-specialized team members across all organizational levels.
• Ability to define priorities and manage multiple projects simultaneously.
• Strong problem-solving skills, including defining project risks and mitigating them.
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