Jobs and Careers

Project Orchestration Lead PM

UKRemotefull_timeVerifiedPosted 9 Jun 2026

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)