DataRobot

Lead Engagement Director

DataRobot$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in software/data product delivery for enterprises.
  • Background in technical roles with progression to client-facing leadership.
  • Experience managing data science or machine learning projects.
  • Technical degree in Computer Science or Engineering; MBA is a plus.
  • Preferred certifications: PMP, Scrum Master, or cloud certifications.

Responsibilities

  • Lead complex AI engagements from initiation to execution.
  • Bridge communication between business stakeholders and technical teams.
  • Identify and mitigate technical risks in project implementation.
  • Cultivate relationships with client sponsors for effective project management.
  • Assist customers in adopting Agentic workflows and operationalizing AI agents.
  • Facilitate agile sprints and maintain delivery team velocity.

Benefits

  • Medical, Dental & Vision Insurance
  • Flexible Time Off Program
  • Paid Holidays
  • Paid Parental Leave
  • Global Employee Assistance Program (EAP)
Full Job Description
Job Description:

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. You will 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). You will ensure business goals are accurately translated into technical requirements.
  • Technical Risk Management: Leverage your 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. You will 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.


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 ("Consulting DNA"):
  • Disciplined approach to project governance, documentation, and client communication


Requisite Education and Experience / Minimum Qualifications:

Related Experience:
  • 7+ years of professional experience, including delivery of 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 (e.g., Engagement Manager, Technical Program Manager, Product Owner)


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)


The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot 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


About DataRobot

DataRobot is an artificial intelligence company that provides a platform for building and deploying machine learning models. The company's platform automates the entire machine learning workflow, from data preparation to model deployment, making it easier for businesses to leverage the power of AI. DataRobot's customers include Fortune 500 companies, government agencies, and startups across a variety of industries. The company was founded in 2012 and is headquartered in Boston, Massachusetts.
Learn more about DataRobot
Size
1,000 employees
Industry
Founded
2012

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