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 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

We offer

• Medical, Dental and Vision Insurance (Subsidized)

• Health Savings Account

• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

• Short-Term and Long-Term Disability (Company Provided)

• Life and AD&D Insurance (Company Provided)

• Employee Assistance Program

• Unlimited access to LinkedIn learning solutions

• Matched 401(k) Retirement Savings Plan

• Paid 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 year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If 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.

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.

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 Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.