Leovegasgroup Project Manager for AI Process Improvement and Automation delivering AI and automation projects in a regulated iGaming environment. Responsible for project intake, prioritization, delivery, and adoption tracking.
Responsibilities
PIA is LeoVegas Group’s AI Process Improvement & Automation hub. Using AI agents, RPA and process change, we redesign how work gets done in a regulated iGaming environment. As Project Manager for AI Process Improvement and Automation, you’ll report to the Head of PIA, deliver PIA’s AI and automation projects, and coordinate PIA’s workstream within the wider AI Programme. PIA’s delivery team, led by the PIA Manager, builds the solutions. Your role is to take each initiative from intake to realised value: making sure the right things get built, with the right owners and the right controls in place, and that people actually use them.
Running intake and prioritisation with business stakeholders, and challenging any request that lacks a business owner, data or clear dependencies before work begins
Leading multiple AI and automation projects end to end, from business case through to post-go-live benefit tracking (hours saved, revenue gained, risk reduced)
Driving adoption and change management, because an automation nobody uses is a failed project
Keeping PIA’s AI Programme workstream plan up to date, managing risks and dependencies across teams, and reporting progress to the Programme Board
Building the right controls into every project plan from the start, including CoE sign-off, Legal and InfoSec review, and EU AI Act obligations where relevant
Keeping project documentation and status transparent in Jira and Confluence
OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING:
4+ years in project delivery, including automation, AI or digital transformation projects through to real adoption
A working understanding of AI and automation (generative AI, RPA, low-code, agentic workflows): strong in at least one, curious about the rest, and able to challenge delivery teams on feasibility
Experience measuring benefits after go-live, not just milestones
Ability to push back on stakeholders and prioritise by value
Qualification
Fluent English
Required
4+ years in project delivery including automation, AI or digital transformation projects
Working understanding of AI and automation (generative AI, RPA, low-code, agentic workflows)
Experience measuring benefits after go-live
Ability to push back on stakeholders and prioritise by value