Project Lead - Analytics

Hello,

Greetings from Galent,

This is Dinesh R and I'm a Recruitment executive with Galent,.

We are one of the premier Talent Solutions partners with global fortune brands, helping them find the right talent for their teams working on next generation technology innovations.

If you are interested, please share me with your updated resume,

Job Title: Project Lead - Analytics

Location: NJ/NYC

Job Details

We are looking for an Engagement Manager - Analytics with strong experience in analytics consulting with client-facing delivery, and managing data-driven projects. The role focuses on engaging with clients, understanding business needs, coordinating project execution, and ensuring smooth and high-quality delivery across analytics, data, and AI/GenAI workstreams.

Key Responsibilities:

• Serve as the primary day-to-day contact for client stakeholders across analytics and technology teams.
• Lead requirement-gathering discussions to understand business challenges and analytical needs.
• Maintain consistent communication with clients on project status, next steps, and risks.
• Prepare and deliver presentations, demos, and progress updates.

Delivery Management

• Own the end-to-end delivery of GenAI workstreams, ensuring technical feasibility and business alignment.
• Manage end-to-end delivery of analytics and data-centric projects across multiple workstreams.
• Oversee planning, sprint execution, timelines, task allocations, and delivery milestones.
• Ensure outputs meet quality standards and align with client expectations.
• Work closely with analysts, data engineers, and solution teams to translate requirements into actionable tasks.
• Coordinate testing, validation, and documentation to ensure smooth handoffs.

Solution Coordination

• Actively identify and propose GenAI-driven solutions and automated workflows to solve complex business problems.
• Support scoping, SOW creation, effort estimation, and planning for new and existing engagements.
• Break down business problems into structured project components and deliverables.
• Facilitate alignment across business, analytics, and technical teams to drive clarity and execution.
• Contribute inputs for designing solutions and delivery approaches involving cloud, data, and AI components.
• Apply a strong understanding of the GenAI App Development Lifecycle including data orchestration, LLM selection, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures to guide technical teams.

Team Interaction

• Collaborate with distributed delivery teams to ensure alignment on tasks, priorities, and timelines.

Thanks & Regards,

Dinesh R

Senior Talent Acquisition Specialist- Recruitment

Email :