Senior Delivery Manager

Responsibilities

• Own scope, schedule, quality, budget, and margin for data engagements, from discovery and estimation through production and hypercare
• Lead delivery of data platform modernization (lakehouse, cloud migration, streaming, data mesh / data products) and the AI use cases built on it: RAG and agentic applications, ML models, analytics
• Make sure data is AI-ready by driving data quality, lineage, metadata, access controls, and governance as delivery requirements rather than afterthoughts
• Bring AI-accelerated practices into your teams: AI coding assistants, agent-assisted pipeline and test generation, automated documentation, and AI-driven planning, risk, and status reporting
• Set up human-in-the-loop controls, auditability, and responsible-AI practices appropriate to the client's regulatory context
• Measure and report the impact: delivery velocity, quality, cost-to-serve, and AI adoption on the engagement
• Lead distributed, cross-functional teams of 15-60+ people (data engineers, architects, analysts, data scientists, ML/AI engineers, QA) across nearshore and offshore locations
• Act as the primary delivery contact for client Directors and VPs: run governance and steering meetings, manage escalations, and build trusted-advisor relationships
• Work with solution architects on technical decisions and hold teams to EPAM's engineering-excellence standards
• Support pre-sales by shaping solutions, estimates, SOWs, and delivery approaches for data and AI opportunities

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