AI Delivery Manager

Overview The Delivery Responsible will play a critical role in ensuring the successful delivery and implementation of AI-driven solutions for our clients. This role bridges the gap between sales, solution design, and technical execution—ensuring that client engagements are executed on time, within budget, and to the highest quality standards.

The DR will oversee end-to-end project delivery, coordinate cross-functional teams (including data scientists, software engineers, and product managers), and act as the main operational point of contact for clients throughout the implementation phase.

Responsibilities

Project Delivery Management : Lead and oversee the implementation of AI solutions post-sales, ensuring alignment with the agreed scope, budget, and timeline.

Client Engagement : Serve as the client’s primary operational contact during project delivery; ensure transparency, manage expectations, and drive satisfaction.

Cross-Functional Coordination : Collaborate closely with Sales (AR), Solution Architects (SR), Engineering, and Data Science teams to ensure seamless handover and delivery.

Operational Excellence : Implement delivery best practices and quality assurance processes; ensure compliance with internal and external standards.

Risk & Issue Management : Proactively identify potential delivery risks or issues and lead resolution efforts to minimize impact on timelines and client satisfaction.

Change Management : Manage change requests and scope adjustments in collaboration with the client and internal stakeholders.

Reporting & Documentation : Maintain accurate delivery documentation and provide regular updates to internal leadership and clients on progress, risks, and performance.

Qualifications Education : Bachelor’s degree or higher in Computer Science, or related fields preferred.

Technical Skills

Familiarity with large models (e.g., ChatGPT, Gemini).

Preferred : Experience with agent studios or AgentBuilder workflows.

Stakeholder Management

Client-facing experience managing expectations and escalations

Cross-functional collaboration with sales, engineering, and data teams

Soft Skills

Clear logical thinking, strong written / verbal communication, and independent problem-solving abilities.

Team-oriented with strong customer service awareness, proactive attitude, and accountability.

Curiosity about new technologies and methodologies.

Language Professional English proficiency (written and spoken).

Seniority level Mid-Senior level

Employment type Full-time

Job function Engineering, Information Technology, and Project Management

Industries Business Intelligence Platforms

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