DataRobot

3 months ago

Lead Engagement Director

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead high-impact enterprise engagements deploying GenAI and Agentic AI solutions, bridging business strategy and engineering execution. Manage end-to-end delivery, assess technical risk, translate client goals into technical requirements, and drive adoption of AI workflows in collaboration with AI engineers and data scientists.

Location: San Jose, San Francisco, California

Workplace: Remote

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Sr. Director level

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 translated into technical requirements.
•Technical Risk Management: Identify implementation risks related to data infrastructure, API integrations, or agent logic and work with the engineering team to mitigate them before impacting the critical path.
•Stakeholder Management: Cultivate strong relationships with client sponsors, manage expectations, handle escalations, and navigate complex organizational dynamics.
•Drive Adoption & Change: Help customers operationalize and adopt Agentic workflows, advising on process changes to integrate AI agents into daily operations.

Pay and Benefits

Perks:Health InsuranceDentalVisionTime OffHolidaysParental Leave

Key Requirements

•7+ years of professional experience delivering complex software or data products for enterprise clients
•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:7+ yearsAIGenAIGenerative AIEnterprise

Education:Bachelor's

Skills:ConsultingStakeholder managementCommunicationProblem-solvingLeadership

Certifications:PMPCSMAWSAzureGCP

Tech Stack:APIsCloudGenAISDLCRAG

Company Brief

DataRobot

Provides an enterprise AI platform that automates and accelerates the end-to-end data science lifecycle, enabling organizations to build, deploy, and manage machine learning models at scale for business decisioning and predictive analytics.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn

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DataRobot

3 months ago

Lead Engagement Director

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Jose, San Francisco, California

Workplace: Remote

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Sr. Director level

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 translated into technical requirements.
•Technical Risk Management: Identify implementation risks related to data infrastructure, API integrations, or agent logic and work with the engineering team to mitigate them before impacting the critical path.
•Stakeholder Management: Cultivate strong relationships with client sponsors, manage expectations, handle escalations, and navigate complex organizational dynamics.
•Drive Adoption & Change: Help customers operationalize and adopt Agentic workflows, advising on process changes to integrate AI agents into daily operations.

Pay and Benefits

Perks:Health InsuranceDentalVisionTime OffHolidaysParental Leave

Key Requirements

•7+ years of professional experience delivering complex software or data products for enterprise clients
•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:7+ yearsAIGenAIGenerative AIEnterprise

Education:Bachelor's

Skills:ConsultingStakeholder managementCommunicationProblem-solvingLeadership

Certifications:PMPCSMAWSAzureGCP

Tech Stack:APIsCloudGenAISDLCRAG

Company Brief

DataRobot

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn