
DataRobot
Lead Engagement Director
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 12/10/2026
Job overview
Date posted
28/08/2026
Location
Dubai, United Arab Emirates
Salary
AED 40,000 - 50,000 per month
Compensation
Comprehensive package + relocation
Experience
5 - 10 yrs
Seniority
Director
Qualification
Bachelors degree
Expiration date
12/10/2026
Job description
In this role you will lead the delivery of DataRobot's most advanced customer initiatives as the captain of the ship for enterprise customer engagements, specifically focusing on the deployment of Agentic AI and Generative AI solutions. You will act as a technical translator and strategic partner, sitting at the intersection of business strategy and engineering execution, guiding customers through the complexities of adopting autonomous AI agents. You will lead complex AI engagements, owning the end-to-end delivery lifecycle for high-stakes professional services engagements, managing the scope, timeline, budget, and execution of projects building GenAI agents and predictive solutions. You are responsible for bridging business and technology, acting as the primary translation layer between client business stakeholders up to the C-suite and DataRobot's technical delivery team of AI Engineers and Data Scientists. Your responsibilities include technical risk management, leveraging your technical background to identify implementation risks early and working with the engineering team to mitigate them before they impact the critical path. You will cultivate strong, trusted relationships with client sponsors, managing expectations and handling escalations, and you are responsible for driving adoption and change by helping customers understand how to operationalize and adopt Agentic workflows. In this role you will run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.
Required skills
Key responsibilities
- Own the end-to-end delivery lifecycle for high-stakes professional services engagements building GenAI agents and predictive solutions
- Manage the scope, timeline, budget, and execution of complex AI projects
- Act as the primary translation layer between client business stakeholders and DataRobot's technical delivery team
- Ensure business goals are accurately translated into technical requirements
- Identify implementation risks early, related to data infrastructure, API integrations, or agent logic, and mitigate them with the engineering team
- Cultivate strong, trusted relationships with client sponsors
- Manage expectations, handle escalations, and navigate complex organizational dynamics
- Help customers understand how to operationalize and adopt Agentic workflows
- Advise on process changes required to integrate AI agents into daily operations
- Run agile sprints, stand-ups, and sprint reviews to maintain delivery velocity and clear direction
Experience & skills
- Bring 7 or more years of professional experience, including delivery of complex software or data products for enterprise clients
- Demonstrate a hybrid background combining technical roles such as Software Engineer, Solution Architect, or Technical Lead with progression into client-facing leadership roles such as Engagement Manager or Technical Program Manager
- Show experience managing data science or machine learning projects
- Hold a technical undergraduate degree in Computer Science, Engineering, or a similar field; an MBA is preferred
- PMP, Scrum Master (CSM), or cloud certifications such as AWS, Azure, or GCP are preferred
- Show experience working within a management consulting or technology consulting environment, whether Big 4 or boutique
- Demonstrate understanding of system architectures, API integrations, and cloud infrastructure
- Show the ability to engage in discussions on the software development lifecycle with engineering teams
- Demonstrate familiarity with GenAI and Agentic systems, including non-deterministic behavior, latency trade-offs, MCP servers, and RAG architectures
- Show the ability to define KPIs, measure ROI, and align technical outputs with strategic business objectives
- Demonstrate a disciplined, consulting-oriented approach to project governance, documentation, and client communication