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Lead Engagement Director

DataRobot·Salary not specified

Primary stack

Project ManagementAI

Nice to have's

System ArchitecturesAPI IntegrationsCloud InfrastructureSoftware Development LifecycleGenAIAgentic SystemsPMPScrum MasterAWSAzureGCP

Job description

About the Position

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.

Purpose & Overall Relevance for the Organization:

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.

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.

Requirements

  • 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:

    • 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); MBA preferred
    • 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)

We Offer

  • Competitive pay and benefits
  • Medical, Dental & Vision Insurance
  • Flexible Time Off Program
  • Paid Holidays
  • Paid Parental Leave
  • Global Employee Assistance Program (EAP)
  • And more!

About the Company

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.

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

Locations

  • Boston, United States
  • Dubai, United Arab Emirates

Apply now

© DataRobot. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

DataRobot is a Boston-based tech company with 13+ years on AI&ML market. We have offices all around the globe in the US, EMEA and APAC. We developed an automated machine learning platform that helps data scientists and analysts build and deploy better predictive models and improve discoverability of valuable business insights.DataRobots works with global brands, like Mitsubishi Heavy Industries, Nippon Steel, Airbnb, United Airlines, Panasonic, and others. We enable advanced predictive analytics at many Fortune 500 enterprises, including largest US banks, insurers, fintechs, energy companies, and healthcare institutions.The people that work at DataRobot include top talent in machine learning, big data analytics, business operations and various technologies that enable the data-driven enterprise. Our Engineering team as a core fundamental department, upon which the company was built, plays a vital role in bringing technical expertise to the organization. Our individuals represent some of the industry’s brightest and most innovative minds in a variety of domains like Data Science, Front-end and Back-end engineering, Global Platforms, and many others. We work on multiple aspects such as software development, system architecture, database management, and technology infrastructure to enable the next generation of AI.Our employees frequently attend and speak at various industry events, meetups, and conferences, like Fwdays, PyCon Ukraine, KyivPy, and many more.Our startup is a dynamic enterprise, so we’re always on the lookout for top programming and business talent. If you want to join a highly motivated and incredibly productive team in a rapidly growing tech company with a product that revolutionizes data science, machine learning, and analytics — feel free to reach out at[email protected].

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