Senior Delivery/Project Manager

EPAM Systems; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems Inc. is seeking an experienced delivery leader to steer complex enterprise programs from initiation through go-live and production support. You will coordinate cross-functional teams, align with stakeholders, and define success criteria to drive outcomes.

You will manage requirements, risks, budgets, and governance, while mentoring a 50+ person team and applying AI-enabled SDLC practices to accelerate delivery. Strong English communication and agile experience are essential.

Qualifications

• 7+ years of team or project leadership.
• Delivered enterprise solutions on 5+ commercial projects.
• Knowledge of full product development cycle from pre-sales to post-production.
• Experience leading 50+ team members and people management.
• Strong Agile methodologies, SAFe and Kanban experience.
• Hands-on AI/GenAI in delivery and AI-enabled SDLC.
• Excellent analytical and emotional intelligence with problem-solving skills.

Responsibilities

• Lead projects from kickoff to go-live and post-production with stakeholder alignment.
• Manage delivery: requirements, risks and budget.
• Oversee product quality, set benchmarks and motivate the team.
• Coordinate UAT, production deployments and releases.
• Develop WBS and resource plans.
• Act as primary contact for stakeholders, reporting status and risks.
• Interface with clients daily, run demos, train engineers and manage expectations.
• Foster collaboration, mentoring and coaching within the team.
• Establish governance models, manage virtual teams and resolve issues.
• Implement best practices and create project management and communication plans.

Skills

Team leadership

Project management

Stakeholder management

Agile SAFe Kanban

AI in delivery

Job description

Responsibilities

• Lead projects from kick-off through go-live and post-production, ensuring alignment with stakeholders and clearly defined success criteria.
• Manage the delivery process, including requirements, risks and the budget.
• Oversee product quality, setting benchmarks and engaging the team to meet them.
• Facilitate UAT / production deployments and manage releases.
• Prepare the WBS and resource plans.
• Act as the primary contact point for stakeholders, communicating project status, risks and progress.
• Interface with clients daily, holding demos, training engineers and managing expectations.
• Foster a collaborative, positive work environment, mentoring and coaching team members.
• Establish governance models, manage virtual teams and resolve people management issues.
• Implement organizational best practices on the projects.
• Create project management and communication plans, escalation procedures, change and risk management, as well as Agile ceremonies.

Requirements

• 7+ years of experience in team/project leadership
• Expertise in delivering enterprise solutions, with at least five successful commercial projects
• Knowledge of the full product development cycle, from pre-sales to post-production support
• Confidence to lead a team of 50+ members, including people management
• Background in setting up Dev, QA and BA processes on projects
• Understanding of Agile methodologies, SAFe and Kanban
• Use of GenAI for team productivity evaluation and decision-making
• Production experience in Digital, Data or Cloud projects
• Emotional intelligence with excellent analytical and problem-solving skills
• Cultural awareness and openness to diversity
• Proven, hands-on experience applying AI in delivery, including building AI agents and implementing an AI-enabled SDLC on past projects
• Knowledge of AI SDLC and Spec-Driven Development (SDD) approaches, and the ability to champion them so teams meet their commitments
• Experience using enterprise AI tools to speed up coding, testing and design work
• Familiarity with AI technologies and how they apply in real delivery contexts, with a focus on delivered features and business value rather than technical execution alone
• Willingness to keep experimenting with new AI tools and approaches, to adapt quickly to change and to unlearn old patterns
• Upper-intermediate proficiency in English (B2+)

Nice to have

• Prior hands-on engineering experience
• Understanding of E-Commerce, Healthcare and Life Sciences domains
• Familiarity with environment landscapes, sizing calculation and delivering techniques