IT Project Manager - ML/AI Automation Initiative

Helprise is an organization that combines global reach with local talent, connecting specialists with projects where their knowledge has real impact. They work for companies that value quality, partnership, and responsibility, creating effective teams.

• Proven experience as an IT Project Manager delivering complex technology or transformation projects.
• Experience managing AI, Machine Learning, automation or data-driven initiatives.
• Strong understanding of SAP-related projects and technology transformation environments.
• Experience working with external technology vendors and implementation partners.
• Hands-on experience with Agile / SAFe methodologies and project delivery in a complex, matrix organisation.
• Strong expertise in project governance, planning, RAID management, risk and dependency management.
• Excellent stakeholder management skills, including experience working with senior leadership and executive stakeholders.
• Ability to coordinate multiple workstreams, teams and priorities simultaneously.
• Strong communication and presentation skills, with the ability to translate complex technical topics into clear business messages.
• Experience with tools such as Jira, Confluence and project portfolio management platforms.
• Very good command of English, both written and spoken.
• Strong ownership, structured approach and ability to drive delivery in a complex and changing environment.

• Lead the end-to-end delivery of the ML/AI Automation Initiative.
• Establish project governance, PMO controls, sprint cadence, RAID management and status reporting.
• Develop and maintain the integrated project plan, MVP roadmap, milestones, dependencies and resource plan.
• Coordinate external technology partners and SAP-related technical readiness activities.
• Facilitate project kick-off meetings, sprint planning, steering committees and executive reviews.
• Manage cross-functional stakeholders across Finance, Business Solutions, SAP, PMO and external partners.
• Drive the delivery of the MVP and pilot implementation according to agreed scope and success criteria.
• Ensure alignment with the target architecture, data model and integration decisions.
• Proactively manage risks, dependencies, issues and escalations.
• Coordinate testing, business validation and User Acceptance Testing (UAT).
• Maintain project documentation across relevant project management and collaboration tools, including Jira and Confluence.
• Prepare executive project updates, presentations and materials supporting leadership decisions.
• Support resource planning, budget tracking and vendor management.
• Drive change management and adoption activities where required.
• Ensure adherence to established project governance, security and IT delivery standards.