Senior Delivery Manager

We are seeking aSenior Delivery Manager to lead end-to-end delivery of data and AI programs, guiding distributed teams through platform modernization, GenAI initiatives, and production-grade analytics solutions while acting as a trusted advisor to client leadership.

Req# 1100434489

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
• Find expansion opportunities within your accounts and help move engagements toward outcome-based or managed-service commercial models
• Capture reusable accelerators and delivery patterns and contribute them back to the practice
• Mentor delivery leads and engineers, and grow AI-native delivery capability across the practice

Requirements

• 8+ years in IT, with 4+ years in delivery management of data or analytics programs with distributed teams
• 3+ years of prior hands-on experience as a Data Engineer, Data Architect, BI/Analytics Engineer, or Data Scientist
• A track record of delivering data platforms to production on at least one major cloud (AWS, Azure, or GCP) and a modern data platform (Databricks, Snowflake, Microsoft Fabric, BigQuery, or similar)
• Delivery experience on at least one AI/ML or GenAI initiative in production (for example RAG, agentic workflows, forecasting, recommendations, document intelligence)
• Hands-on, everyday use of AI tools in your own delivery practice, with examples you can show
• Solid understanding of data governance, data quality, and MLOps/LLMOps fundamentals
• Full ownership of project financials: budget, forecasting, margin, and change control
• Strong client-facing, risk management, and executive communication skills at Director/VP level

Nice to have

• Experience in pre-sales, RFP responses, or solution shaping
• Fixed-price, managed-service, or outcome-based delivery experience
• Industry depth in financial services, healthcare/life sciences, retail/CPG, manufacturing, or automotive
• Cloud, Databricks/Snowflake, or frontier AI lab certification (e.g. Anthropic, OpenAI, Gemini or similar); PMP, SAFe, or similar
• Experience in a consulting or professional-services environment