GenAI & Analytics Delivery Lead

Straive; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Impact & scale

Growth environment

Global perspective

Job summary

Straive is seeking an Engagement Manager with a strong background in analytics consulting, client delivery, and data-driven project management. You will act as the strategic bridge between client leadership and technical execution teams—leading end-to-end delivery of Analytics, Cloud, Data, and GenAI initiatives.

Responsibilities include managing client engagement, delivering on analytics and GenAI workstreams, and guiding cross-functional teams through modern data stacks and cloud platforms.

Qualifications

• 7–10 years of analytics consulting, data-focused project management, or client delivery.
• Experience leading cross-functional teams and direct exposure to senior client stakeholders.
• Strong familiarity with cloud platforms (GCP, AWS, Azure) and modern data stacks.
• Solid understanding of GenAI concepts and architectures (e.g., RAG, LLMs).
• Exceptional communication, articulation, and stakeholder management skills.
• Location: Preference for candidates based in NYC/NJ with willingness to travel.

Responsibilities

• Serve as the primary day-to-day contact for client stakeholders across analytics and technology teams.
• Lead requirement-gathering sessions to translate business challenges into analytics and AI initiatives.
• Deliver executive-level presentations, project status updates, risk management reporting.
• Own the end-to-end delivery of analytics, data-centric, and GenAI workstreams.
• Oversee project planning, sprint execution, resource allocation, and milestone tracking.
• Guide technical teams using data stacks, cloud platforms, and GenAI lifecycle best practices.

Skills

Analytics consulting

Delivery management

Stakeholder management

Cloud platforms

GenAI concepts

Tools

GCP

AWS

Azure

Job description

Straive is seeking an Engagement Manager with a strong background in analytics consulting, client delivery, and data-driven project management. You will act as the strategic bridge between client leadership and technical execution teams—leading end-to-end delivery of Analytics, Cloud, Data, and GenAI initiatives.

Responsibilities include managing client engagement, delivering on analytics and GenAI workstreams, and guiding cross-functional teams through modern data stacks and cloud platforms.