Lead Engagement Director

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

Responsibilities

Lead Complex AI Engagements: Own the end-to-end delivery lifecycle for high-stakes professional services engagements. Manage the scope, timeline, budget, and execution of projects building GenAI agents and predictive solutions; Bridge Business & Technology: Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot’s technical delivery team (AI Engineers and Data Scientists). Ensure business goals are accurately translated into technical requirements; Technical Risk Management: Leverage technical background to identify implementation risks early—whether related to data infrastructure, API integrations, or agent logic—and work with the engineering team to mitigate them before they impact the critical path; Stakeholder Management: Cultivate strong, trusted relationships with client sponsors. Manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success; Drive Adoption & Change: Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations; Agile Delivery: Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction

Requirements

7+ years of professional experience, including delivery of complex software or data products for enterprise clients; Experience in technical roles (e.g., Software Engineer, Solution Architect, Technical Lead) with progression into client-facing leadership roles (e.g., Engagement Manager, Technical Program Manager, Product Owner); Experience managing data science or machine learning projects; Technical undergraduate degree (Computer Science, Engineering, or similar); PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred; Experience working within a management consulting or technology consulting environment (Big 4 or boutique)

Benefits

Medical, Dental & Vision Insurance; Flexible Time Off Program; Paid Holidays; Paid Parental Leave; Global Employee Assistance Program (EAP)