Senior Delivery Manager

We are seeking a Senior 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 hypercareLead 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, analyticsMake sure data is AI-ready by driving data quality, lineage, metadata, access controls, and governance as delivery requirements rather than afterthoughtsBring AI-accelerated practices into your teams: AI coding assistants, agent-assisted pipeline and test generation, automated documentation, and AI-driven planning, risk, and status reportingSet up human-in-the-loop controls, auditability, and responsible-AI practices appropriate to the client's regulatory contextMeasure and report the impact: delivery velocity, quality, cost-to-serve, and AI adoption on the engagementLead distributed, cross-functional teams of 15-60+ people (data engineers, architects, analysts, data scientists, ML/AI engineers, QA) across nearshore and offshore locationsAct as the primary delivery contact for client Directors and VPs: run governance and steering meetings, manage escalations, and build trusted-advisor relationshipsWork with solution architects on technical decisions and hold teams to EPAM's engineering-excellence standardsSupport pre-sales by shaping solutions, estimates, SOWs, and delivery approaches for data and AI opportunitiesFind expansion opportunities within your accounts and help move engagements toward outcome-based or managed-service commercial modelsCapture reusable accelerators and delivery patterns and contribute them back to the practiceMentor 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 teams3+ years of prior hands-on experience as a Data Engineer, Data Architect, BI/Analytics Engineer, or Data ScientistA 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 showSolid understanding of data governance, data quality, and MLOps/LLMOps fundamentalsFull ownership of project financials: budget, forecasting, margin, and change controlStrong client-facing, risk management, and executive communication skills at Director/VP level Nice to have Experience in pre-sales, RFP responses, or solution shapingFixed-price, managed-service, or outcome-based delivery experienceIndustry depth in financial services, healthcare/life sciences, retail/CPG, manufacturing, or automotiveCloud, Databricks/Snowflake, or frontier AI lab certification (e.g. Anthropic, OpenAI, Gemini or similar); PMP, SAFe, or similarExperience in a consulting or professional-services environment We offer Medical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)Paid Holidays - nine (9) total per yearLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase ProgramIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program This Remote Position Cannot be Performed in New York City. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $150,000 - $205,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position. Applications will be accepted on a rolling basis. In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov) EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered. 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