Project Manager leading strategic data science initiatives for advanced AI-driven solutions. Overseeing project delivery and collaborating with cross-functional teams for impactful outcomes.
Responsibilities
Lead end-to-end delivery of data science and AI projects, focusing on Agentic AI and LLM-based initiatives.
Collaborate with data scientists, ML engineers, and product teams to define project scope, milestones, and success metrics.
Manage project planning, execution, risk assessment, and delivery timelines to ensure quality outcomes.
Translate complex business challenges into AI/ML use cases and actionable implementation plans.
Drive proof-of-concept (POC) and production-grade deployments of generative and agentic AI solutions.
Oversee data governance, security, and ethical AI practices across the project lifecycle.
Partner with stakeholders to identify opportunities for automation, optimization, and innovation through AI.
Present project updates, impact analyses, and performance insights to leadership and clients.
Ensure all AI initiatives align with the organization’s strategy, architecture, and compliance standards.
Support AI features through go - live and management while collaborating with teams in a hybrid setup. Primarily focus on project management and ensuring service continuity for AI features.
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