Engagement Manager

About the Role: Engagement Manager
- Analytics

- Location:

NYC / NJ

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 work streams.

Key Responsibilities:

Client Engagement

• 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 work streams, ensuring technical feasibility and business alignment.
• Manage end-to-end delivery of analytics and data-centric projects across multiple work streams.
• 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.
• Provide guidance and clarity—ensuring all team members understand requirements and expectations.
• Maintain organized documentation and support knowledge transfer.

Required Qualifications:

• 7-10 years of experience in analytics consulting, client delivery, or data-focused project management.
• Strong experience managing cross‑functional project teams in fast‑paced client environments.
• Proven ability to work directly with senior client stakeholders and navigate complex requirements.
• Familiarity with modern data stacks, cloud platforms (GCP, AWS, Azure), and analytics workflows.
• Excellent communication, articulation, and stakeholder management skills.
• Ability to manage project documentation, reporting cadences, and structured updates.
• Based in or willing to relocate to NYC; willingness to travel as needed.
• Experience in the asset & wealth management domain would be a plus but not mandatory.

Preferred Qualifications:

• Exposure to Azure tech stack, RAG applications experience etc is preferred.
• Prior consulting experience in a global or multi-client delivery environment.