Project Orchestration Lead PM

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