وصف الوظيفة
Role Overview
Lead Engagement Director at DataRobot. This role leads the delivery of advanced customer initiatives, with specific focus on the deployment of Agentic AI and Generative AI solutions for enterprise clients.
Company Overview
DataRobot delivers AI that maximizes impact and minimizes business risk. The 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.
Role Purpose
The Forward Deployed Engagement Manager leads high-impact professional services engagements as the captain of the ship for enterprise customer initiatives. You are a technical translator and strategic partner who sits at the intersection of business strategy and engineering execution, guiding customers through the complexities of adopting autonomous AI agents. Drawing on a background in software engineering or solution architecture, you will manage technical risk while using business acumen to ensure every project delivers measurable ROI.
Key Responsibilities
Engagement Delivery
- 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.
Business & Technology Translation
- 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.
Risk Management
- Identify implementation risks early, whether related to data infrastructure, API integrations, or agent logic.
- Work with the engineering team to mitigate risks 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.
Adoption & Change
- Help customers understand how to operationalize and adopt Agentic workflows.
- Advise on process changes required to integrate AI agents into daily operations.
Agile Delivery
- Run agile sprints, stand-ups, and sprint reviews.
- Ensure the delivery team maintains high velocity and clear direction.
Qualifications & Experience
Years of Experience
- 7+ years of professional experience, including delivery of complex software or data products for enterprise clients.
Hybrid Background
- Experience in technical roles (such as Software Engineer, Solution Architect, or Technical Lead) with progression into client-facing leadership roles (such as Engagement Manager, Technical Program Manager, or Product Owner).
- 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) preferred.
Skills & Competencies
Technical Fluency
- Understand system architectures, API integrations, and cloud infrastructure.
- Engage in discussions on the software development lifecycle (SDLC) with engineering teams.
- Demonstrate familiarity with GenAI and Agentic systems (for example, non-deterministic behavior, latency trade-offs, MCP servers, RAG architectures).
Business Acumen
- Define KPIs, measure ROI, and align technical outputs with strategic business objectives.
Consulting Mindset
- Maintain a disciplined approach to project governance, documentation, and client communication.
Additional Information
Benefits
Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, and Global Employee Assistance Program (EAP) are included in the benefits package depending on location and local legal requirements.
Company Operating Principles
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
Equal Opportunity
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. DataRobot does 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.