Lead Engagement Director

Job Description 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. DataRobot’s Forward Deployed Engagement Manager leads the delivery of our most advanced customer initiatives. In this high‑impact role, you will be the captain of the ship for enterprise customer engagements, specifically focusing on the deployment of Agentic AI and Generative AI solutions. You are not just a project manager; you are a technical translator and a strategic partner. You will sit at the intersection of business strategy and engineering execution, guiding our customers through the complexities of adopting autonomous AI agents. Drawing on a background in software engineering or solution architecture, you will effectively manage technical risk while using your business acumen to ensure every project delivers measurable ROI. Key Responsibilities Lead Complex AI Engagements: Own the end‑to‑end delivery lifecycle for high‑stakes professional services engagements, managing 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, ensuring business goals are accurately translated into technical requirements. Technical Risk Management: Identify implementation risks—whether related to data infrastructure, API integrations, or agent logic—and work with engineering to mitigate them before impact. 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: Help customers operationalize and adopt Agentic workflows, advising on process changes needed to integrate AI agents into daily operations. Agile Delivery: Run agile sprints, stand‑ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction. Knowledge, Skills and Abilities Technical Fluency Understanding of system architectures, API integrations, and cloud infrastructure. Ability to engage in discussions on the software development lifecycle (SDLC) with engineering teams. Familiarity with GenAI and Agentic systems (e.g., non‑deterministic behavior, latency trade‑offs, MCP servers, RAG architectures). Business Acumen Ability to define KPIs, measure ROI, and align technical outputs with strategic business objectives. Consulting Mindset Disciplined approach to project governance, documentation, and client communication. Requisite Education and Experience / Minimum Qualifications 7+ years of professional experience delivering complex software or data products for enterprise clients. Hybrid Background: Experience in technical roles (e.g., Software Engineer, Solution Architect, Technical Lead) with progression into client‑facing leadership roles. AI/ML Experience: Experience managing data science or machine learning projects. Education: Technical undergraduate degree (Computer Science, Engineering, or similar); MBA preferred. Certifications: PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred. Consulting Experience: 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) Additional benefits depending on location and local legal requirements Employment Data Privacy All applicant data submitted is handled in accordance with our Applicant Privacy Policy ( Equality Statement DataRobot is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. #J-18808-Ljbffr DataRobot