Senior Delivery Manager

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Minimum 8 years in IT services, consulting, or digital delivery with hands-on technology background (software engineering, solution architecture, or technology consulting)
• Practical experience with AI in delivery, delivering AI-based solutions or driving AI adoption with a native-AI mindset
• Full ownership of mid- or large-scale engagements delivery, typically 40–50+ FTE and $5M+ contract value including P&L accountability
• Proven leadership in client engagement, delivery management, and presales with direct ownership of RFP/RFI responses and proposals
• Full ownership of MSAs, SOWs, commercial models, and delivery approaches including scope, margin, and change management
• Direct engagement with C-level/VP client stakeholders; strong commercial negotiation and account-growth mindset
• Engagement governance, delivery orchestration, and escalation management
• Working knowledge of solution architecture fundamentals and software engineering best practices (code quality, CI/CD, testing, tooling, architecture governance)
• Basic awareness of security and compliance standards relevant to IT delivery (data privacy, ISO/ITIL-aligned practices)
• Excellent written and spoken English (B2+ minimum, preferably C1+)

• Own the engagement lifecycle end-to-end with full ownership of outcomes and P&L (revenue and profitability)
• Build trusted relationships with C-level executives, VPs, or senior client stakeholders; lead governance, expectation management, and escalations
• Lead presales engagements and own RFP/RFI responses, partnering with Sales and Solution Architects
• Lead deal-to-delivery transition, ensuring alignment of SOWs, commercial agreements, and delivery plans
• Manage and grow a team of Delivery/Program Managers and Tech Leads
• Establish data-driven delivery governance including KPIs, reporting, escalation paths
• Mitigate risk and manage scope and commercial evolution
• Drive AI adoption across delivery teams to improve SDLC efficiency
• Oversee architecture governance ensuring solutions meet client requirements and quality standards

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