Remote Data & AI Service Delivery Lead

Ladders

United States

On-site

USD 110,000 - 130,000

Full time

22 hours ago
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Benefits offered by this job

Training & development opportunities
Dynamic and collaborative environment
Travel potential
Engagement with cutting-edge tech

Job summary

Ladders seeks a Service Delivery Manager - Data & AI to lead data and AI service engagements for clients, ensuring delivery aligns with scope, timeline, and quality. You will partner with customer stakeholders and internal teams to keep projects moving and risks managed.

The role emphasizes governance, capacity planning, and measurable outcomes, with remote work from the US and opportunities to engage with cutting-edge platforms and data initiatives.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 5+ years of experience in project management, service delivery, or operations management.
  • Experience managing technical and data projects.
  • Experience with Palantir or similar platforms.
  • Strong understanding of project governance, risk management, and stakeholder communications.

Responsibilities

  • Coordinate successful delivery of customer projects and service engagements
  • Align resource capacity with customer demand and project requirements
  • Track project schedules, milestones, budgets, and deliverables
  • Facilitate status meetings and delivery reviews
  • Identify and address project risks and obstacles
  • Build strong relationships with customer stakeholders and internal teams

Skills

Project delivery
Stakeholder comms
Governance & risk

Education

Bachelor's degree

Tools

Palantir

Job description

Ladders seeks a Service Delivery Manager - Data & AI to lead data and AI service engagements for clients, ensuring delivery aligns with scope, timeline, and quality. You will partner with customer stakeholders and internal teams to keep projects moving and risks managed.

The role emphasizes governance, capacity planning, and measurable outcomes, with remote work from the US and opportunities to engage with cutting-edge platforms and data initiatives.

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