• We are seeking a dynamic and results-oriented Project Supervisor to oversee multiple project teams and ensure the seamless execution of assignments. The ideal candidate will be a strong leader with the ability to drive efficiency, uphold quality standards, and align project outcomes with client expectations.
• This role serves as the vital link between associates and project managers—empowering teams, resolving challenges, and fostering operational excellence across all projects.

Key Responsibilities

• Multi-Project Oversight: Lead and manage several project teams simultaneously, ensuring timely, accurate, and high-quality delivery.
• Team Leadership: Mentor and guide Project Team Leads and associates to build strong, high-performing teams.
• Project Coordination: Partner with project managers and clients to align resources, timelines, and deliverables across multiple projects.
• Quality Assurance: Implement robust quality control frameworks to guarantee consistency and accuracy in all outputs.
• Performance Management: Set and track KPIs, provide feedback, and ensure accountability at all levels.
• Resource Planning: Strategically allocate and balance resources for maximum efficiency and productivity.
• Issue Resolution: Manage escalations effectively, ensuring harmony, collaboration, and focus within teams.
• Reporting & Insights: Deliver clear reports and dashboards on performance, quality, and project status to senior leadership.
• Continuous Improvement: Champion process improvements, share best practices, and introduce innovative ways of working.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field (or equivalent practical experience).
• Strong understanding of machine learning workflows (data preparation, model training, evaluation, and deployment).
• Minimum of 3–5 years’ experience in supervising or coordinating technical project teams, preferably in data science, AI, or technology-driven environments.
• Proven ability to manage multiple machine learning or data-intensive projects simultaneously.
• Familiarity with project management tools 
• Strong leadership, coaching, and people management skills, with experience guiding technical and non-technical teams.