Data Science Project Lead

About Brillio :

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Total exp : 10+Years

Location : Mumbai

Work Type : Hybrid( 3 days from office)

Job Summary :

We are seeking an accomplished Project Manager – Data Science (Agentic AI) to lead strategic initiatives in the design, development, and deployment of advanced AI-driven solutions. The ideal candidate will possess deep expertise in data science, LLMs, and agentic AI frameworks , along with a proven record of managing complex, cross-functional projects from inception to delivery.

This role requires a strong balance of technical expertise, stakeholder management, and execution excellence to drive impactful business outcomes through AI innovation.

Key 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 .