We're looking for a Delivery Manager to join our team in Geneva, Switzerland in a hybrid working mode. In this role, you will manage end-to-end delivery across multiple initiatives for clients in the Romandie region, ensuring alignment with scope, timelines and quality standards. You will play a key part in establishing trust-based client relationships, driving delivery excellence and enabling AI-driven practices across the software development lifecycle. This is an opportunity to influence critical programs across diverse industries and contribute to EPAM's growth in the Swiss market.
Responsibilities
Oversee end-to-end delivery across multiple initiatives, ensuring alignment with scope, quality, budget and timelines
Implement delivery governance, pacing and reporting for transparency and continuous improvement
Apply data-driven management using key performance indicators, dashboards and operational metrics
Lead AI adoption and enablement to enhance productivity in delivery processes
Build and maintain trust-based relationships with client stakeholders as the main point of contact
Manage risks, changes and escalations to ensure predictable delivery
Manage financial aspects of delivery, including forecasting, margin control and cost efficiency
Ensure compliance with Master Service Agreements (MSAs) and Statements of Work (SOWs), maintaining scope control and contractual adherence
Drive effective staffing, onboarding, coaching and performance management within delivery teams
Collaborate with account management and technical leadership to support growth opportunities and transformation initiatives
Requirements
Proven experience in delivery leadership roles (Delivery Manager, Program Manager, Engagement Lead) within consulting or IT services
Strong background in managing complex projects and client stakeholder relationships
Experience governing delivery under MSAs and SOWs, including scope and change management
Understanding of technology-related legal concepts such as data privacy and delivery obligations
Technical exposure to enterprise environments, ERP platforms, cloud ecosystems such as Azure, AWS or GCP and system integrations
Practical knowledge of the software development lifecycle, with Agile and Waterfall experience
Hands-on experience using AI tools such as coding assistants, agentic frameworks and large language model APIs
Ability to demonstrate AI adoption in real delivery work
Ability to identify and quantify AI use cases and articulate value to technical and business stakeholders
Strong communication and stakeholder management skills, with professional fluency in English and French
Nice to have
Familiarity with the Geneva and Romandie business environment and local client expectations
Experience in governance or engineering transformation using generative AI techniques
Exposure to business development activities such as contributions to requests for proposal (RFPs) and requests for information (RFIs)