Job description

Sia/LBG is seeking an experienced AI/Digital Project Manager / Scrum Master to support early-stage AI and digital initiatives across operational teams at a client’s manufacturing site. This role will help guide agile delivery for proof-of-concept and MVP projects involving emerging technologies involving AI-enabled tools.

As the AI/Digital Project Manager / Scrum Master, you will play a key role in helping our client advance early-stage AI and digital initiatives from concept through proof of concept and MVP delivery. You will work closely with site-based operations teams, product owners, technical and manufacturing teams, data specialists, cybersecurity, compliance, and business stakeholders to ensure new AI-enabled solutions are practical, well-prioritized, and aligned to real operational needs.

In this role, you will facilitate agile ways of working across AI and digital teams, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives. You will help teams clarify priorities, define sprint goals, remove blockers, manage dependencies, and maintain momentum in a fast-moving and often ambiguous environment. Your focus will be on enabling delivery rather than serving as the technical expert; while familiarity with a wide-range of AI tools is valuable, this is not a data scientist or AI engineering role.

You will help bridge the gap between operational teams and technical delivery teams, ensuring that AI proof-of-concepts and MVPs are grounded in real business problems and designed for adoption. As teams explore emerging AI capabilities, you will also promote awareness of important delivery considerations, including data availability, latency, compute constraints, model reliability, cybersecurity risks, and responsible use of AI. Through strong facilitation, stakeholder management, and agile leadership, you will help our client deliver AI and digital solutions that are structured, secure, and impactful.

Key Responsibilities

• Serve as Project Manager (Scrum Master) for AI and digital initiatives, facilitating agile ceremonies including sprint planning, stand-ups, backlog refinement, reviews, and retrospectives.
• Partner with product owners, technical teams, and business stakeholders to translate operational needs into clear priorities, sprint goals, and MVP deliverables.
• Support early-stage AI proof-of-concept and MVP work
• Help teams manage delivery risks, dependencies, blockers, and stakeholder expectations in a fast-moving, ambiguous environment.
• Embed with local/site-based teams to ensure AI and digital solutions are practical, adopted, and aligned to real operational needs.
• Coordinate across business, data, engineering, cybersecurity, compliance, and governance teams to support responsible AI delivery.
• Promote awareness of key AI delivery considerations, including data access, latency, compute constraints, cybersecurity risks, and model reliability.
• Improve team ways of working by encouraging agile discipline, transparency, accountability, and continuous i