Remote AI Data Delivery Lead — Global Projects

Jobgether; Netherlands; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Fully remote work

International team exposure

Leading-edge AI projects

Professional growth

Job summary

Jobgether, partnering with a client, seeks a Delivery Lead for AI Data Projects based in the Netherlands. You will own end-to-end delivery for a portfolio of AI data initiatives, align cross-functional teams, manage scope, timelines, and client expectations to ensure profitability across engagements.

You will lead globally distributed teams of PMs, engineers, data scientists, and researchers, shape delivery models, deepen client relationships, and advance best practices in data quality and risk

Qualifications

• Demonstrated experience in delivering AI data projects at scale.
• Ability to lead cross-functional teams including PMs, engineers, data scientists, and researchers.
• Strong client management and stakeholder communication skills.
• Knowledge of generative AI technologies and their practical applications.
• Foundation in statistics, ML, and data science concepts.

Responsibilities

• Own end-to-end project delivery for a portfolio of AI data projects, ensuring data quality, timelines, and profitability.
• Lead cross-functional teams to maintain alignment and drive successful outcomes.
• Oversee discovery, scope definition, planning, implementation, and adoption of projects.

Skills

AI delivery leadership

Client-facing leadership

Complex project management

GenAI knowledge

Technical foundation

Education

Bachelor’s or Master’s in STEM

Job description

Jobgether, partnering with a client, seeks a Delivery Lead for AI Data Projects based in the Netherlands. You will own end-to-end delivery for a portfolio of AI data initiatives, align cross-functional teams, manage scope, timelines, and client expectations to ensure profitability across engagements.

You will lead globally distributed teams of PMs, engineers, data scientists, and researchers, shape delivery models, deepen client relationships, and advance best practices in data quality and risk