Project Orchestration Lead PM
# Project Orchestration Lead PM **Madiff** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Project-Manager]` `[Program-Manager]` `[AI-Project-Manager]` `[Technical-Project-Manager]` `[Delivery-Manager]` `[Project-Management-Lead]` `[Lead-Project-Manager]` `[Workflow-Orchestration-Team-Lead]` `[Project-Manager-Lead]` --- ### About the Role This is a remote position. We are looking for a Project Orchestration Lead to support a multi-stream enterprise AI transformation programme. This senior role anchor the full delivery rhythm across engineering, data, product, and platform teams. The programme spans AI engineering, RAG platforms, cloud-native services, and modern data ecosystems, requiring a leader experienced in AI-driven delivery and enterprise-scale coordination. Responsibilities - Own the master delivery plan across all AI workstreams - Drive the planning, prioritisation, and reporting rhythm - Maintain visibility on risks, dependencies, scope, and readiness - Facilitate decision-making with technical and business leadership - Resolve delivery blockers before they impact timelines - Coordinate execution across engineering, data, architecture, and product teams - Shape structured communication for leadership and key stakeholders - Ensure governance standards and delivery frameworks are followed - Maintain roadmap stability and steer alignment across teams - Provide clarity on progress, decision points, and upcoming milestones Requirements - 4-6 years of experience leading enterprise-scale projects or programmes in complex environments - Proven involvement in AI-focused projects, including LLM-based components - Ability to structure ambiguity and simplify complex delivery landscapes - Strong senior-level communication and stakeholder engagement skills - Solid understanding of Scrum, Kanban, and structured governance practices - Experience coordinating multi-discipline teams for predictable delivery - Strong grounding in risk management and executive-level reporting - Ability to challenge constructively and drive cross-team alignment - Familiarity with cloud-based AI and data ecosystems (Azure, AWS) - Understanding of engineering environments (Python, TypeScript, React, cloud-native platforms) - Good understanding of MLOps, pipelines, data orchestration, and model lifecycle concepts - Knowledge of AI tooling (vector databases, LLM components) - Proficiency with project and portfolio tools (Jira, Confluence, Azure DevOps) - Relevant certifications: PMP, Prince2 Practitioner, Scrum Master, Product Owner, or ITIL Foundation Nice to have - SAFe experience - Cloud certifications - Exposure to AI or data-heavy enterprise programmes - Hands-on experience working directly with MLOps tooling or vector databases - Experience supporting engineering teams using Python/TypeScript/React environments Benefits - Solid, competitive salary - Work in multinational environment on international projects - Comprehensive healthcare - Long-term B2B contract with stable project pipeline - Fully remote model Originally posted on Himalayas
- Project-Manager
- Program-Manager
- AI-Project-Manager
- Technical-Project-Manager
- Delivery-Manager
- Project-Management-Lead
- Lead-Project-Manager
- Workflow-Orchestration-Team-Lead
- Project-Manager-Lead
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).