Is the Project Orchestration Lead PM position at Madiff fully remote?

Yes, this Project Orchestration Lead PM position at Madiff is fully remote and you can work from anywhere in the world.

Is this a full-time or part-time Project Orchestration Lead PM role?

This is a full-time Project Orchestration Lead PM position at Madiff.

What are the main requirements for the Project Orchestration Lead PM role?

Key requirements include: 4-6 years of experience leading enterprise-scale projects or programmes in complex environments, Own the master delivery plan across all AI workstreams, Drive the planning, prioritisation, and reporting rhythm, and more.

What benefits does Madiff offer for this position?

Madiff offers the following benefits: Remote Work, Flexible Hours, Paid Time Off, Health Insurance, Dental Insurance, Vision Insurance, 401k Matching, Equity.

How do I apply for the Project Orchestration Lead PM position at Madiff?

You can apply for this Project Orchestration Lead PM position by clicking the "Apply Now" button on this page, which will take you to Madiff's application portal.

Remote Opportunity

Project Orchestration Lead PM

Join Madiff as a senior professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Project Orchestration Lead PM

Madiff

Full Time

$120,000 - $180,000*

10 months ago

Worldwide

Senior

Risk Management

AI engineering

RAG platforms

+5 more

Job Description

This is a remote position.<\/p> 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.<\/span><\/span>
<\/div>
<\/div> Responsibilities<\/b><\/span><\/span>
<\/div>
<\/div>

Own the master delivery plan across all AI workstreams<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Drive the planning, prioritisation, and reporting rhythm<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Maintain visibility on risks, dependencies, scope, and readiness<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Facilitate decision-making with technical and business leadership<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Resolve delivery blockers before they impact timelines<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Coordinate execution across engineering, data, architecture, and product teams<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Shape structured communication for leadership and key stakeholders<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Ensure governance standards and delivery frameworks are followed<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Maintain roadmap stability and steer alignment across teams<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Provide clarity on progress, decision points, and upcoming milestones<\/span><\/span><\/span><\/span>
<\/li> <\/ul>
<\/div><\/span>
Requirements<\/h3>

<\/p>

4-6 years of experience leading enterprise-scale projects or programmes in complex environments<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Proven involvement in AI-focused projects, including LLM-based components<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Ability to structure ambiguity and simplify complex delivery landscapes<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Strong senior-level communication and stakeholder engagement skills<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Solid understanding of Scrum, Kanban, and structured governance practices<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Experience coordinating multi-discipline teams for predictable delivery<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Strong grounding in risk management and executive-level reporting<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Ability to challenge constructively and drive cross-team alignment<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Familiarity with cloud-based AI and data ecosystems (Azure, AWS)<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Understanding of engineering environments (Python, TypeScript, React, cloud-native platforms)<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Good understanding of MLOps, pipelines, data orchestration, and model lifecycle concepts<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Knowledge of AI tooling (vector databases, LLM components)<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Proficiency with project and portfolio tools (Jira, Confluence, Azure DevOps)<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Relevant certifications: PMP, Prince2 Practitioner, Scrum Master, Product Owner, or ITIL Foundation<\/span><\/span><\/span><\/span>
<\/li> <\/ul>
Nice to have <\/span><\/span><\/b>
<\/p>

SAFe experience<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Cloud certifications<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Exposure to AI or data-heavy enterprise programmes<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Hands-on experience working directly with MLOps tooling or vector databases<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Experience supporting engineering teams using Python/TypeScript/React environments<\/span><\/span><\/span>
<\/span><\/li> <\/ul>
<\/span> <\/div>
<\/div><\/span>
Benefits<\/h3>

Solid, competitive salary<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Work in multinational environment on international projects<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Comprehensive healthcare<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Long-term B2B contract with stable project pipeline<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Fully remote model<\/span><\/span><\/span>
<\/span><\/li> <\/ul>
<\/div><\/span>
<\/body> <\/html>

Requirements

4-6 years of experience leading enterprise-scale projects or programmes in complex environments
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

Benefits

Remote Work
Flexible Hours
Paid Time Off
Health Insurance
Dental Insurance
Vision Insurance
401k Matching
Equity

Skills

Risk Management

AI engineering

RAG platforms

cloud-native services

modern data ecosystems

project orchestration

delivery planning

dependency management

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join Madiff today

Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 10 months ago

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