Engagement Manager

Straive; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

Straive is seeking an Engagement Manager - Analytics to lead client-facing delivery across analytics, data and GenAI workstreams in the NYC/NJ area. You will engage with clients, understand business needs, coordinate project execution, and translate requirements into actionable tasks for distributed teams.

The role emphasizes strong communication, stakeholder management, and the ability to drive end-to-end delivery of analytics projects while leveraging cloud platforms and modern data stacks.

Qualifications

• 7–10 years of analytics consulting, client delivery, or data-focused project management.
• Experience managing cross-functional project teams in fast-paced client environments.
• Proven ability to work directly with senior client stakeholders and navigate complex requirements.
• Based in or willing to relocate to NYC; willingness to travel as needed.
• Asset & wealth management domain experience would be a plus but not mandatory.

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.
• 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.
• 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 architectures—to guide technical teams.
• 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.

Skills

Analytics consulting

Client delivery

Data-driven projects

Stakeholder management

Communication

Tools

GCP

AWS

Azure

Job description

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 workstreams.

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 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.
• 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.