Portfolio Delivery Director - AI Native Engineering & Hyperfactory Transformation

EPAM Systems, Inc.; New York (NY); Hybrid; USD 130,000 - 205,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

401(k) Retirement Plan

Paid Time Off

Career development resources

LinkedIn Learning access

Job summary

EPAM Systems, Inc. seeks a Portfolio Delivery Director - AI Native Engineering & Hyperfactory Transformation to drive a strategic portfolio for a leading insurer. You will own end-to-end delivery across programs, projects, products, and managed services, establishing an AI-native delivery organization from Day One.

You will lead transitions from incumbents, implement the Hyperfactory operating model, and ensure SLA achievement, customer outcomes, and business value with global delivery teams.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or related field.
• 15+ years in technology delivery, program management, managed services, or digital transformation leadership.
• 8+ years leading large-scale portfolios or enterprise engagements.
• Proven experience with multi-million-dollar portfolios and P&L responsibility.
• Track record of complex transitions from incumbents, knowledge transfer, and operational transformation.
• Experience in outcome-based or SLA-driven managed services settings.
• Global teams across onshore, nearshore, offshore delivery models.
• Strong executive stakeholder management and governance capabilities.
• Proven enterprise-scale AI Native Engineering transformations and AI Hyperfactory experience.

Responsibilities

• Own end-to-end delivery of a strategic portfolio across programs, projects, and services.
• Establish AI-native delivery model and roadmap for the portfolio.
• Drive adoption of AI across software engineering, testing, and operations.
• Lead transitions from incumbents with KT, stabilization, and governance.
• Monitor SLAs, KPIs, risks, issues, and executive reporting.
• Build scalable AI accelerators, playbooks, and best practices.
• Lead global delivery teams and manage financial performance.

Skills

Portfolio management

Delivery leadership

Stakeholder management

Agile / DevOps

AI / GenAI familiarity

Program management

Change management

Global delivery

Communication

Education

Bachelor's degree in Engineering/CS/IS/Business

PM certifications (PMP/SAFe PMI-ACP etc.)

Tools

Microsoft Copilot

Azure AI

GenAI platforms

SAFe / Agile tooling

Job description

We are seeking a highly accomplished Portfolio Delivery Director - AI Native Engineering & Hyperfactory Transformation to lead one of the strategic business portfolios within a large-scale transformation engagement for a leading insurance provider.This leader will own end-to-end accountability for portfolio delivery across multiple programs, projects, products, and managed services teams. The role is responsible for successful transition from incumbent vendors, knowledge transfer, stabilization, technology transformation, operational excellence, SLA achievement, customer satisfaction, and business outcomes. A key expectation of this role is to establish and operationalize an AI-Native Delivery Organization from Day One by implementing an AI Hyperfactory operating model, transforming traditional engineering teams into AI-augmented, high-performing delivery organizations that deliver measurable gains in productivity, quality, speed, and business value.About EPAM HyperfactoryEPAM's AI Hyperfactory is an AI-native delivery operating model that combines AI agents, reusable AI factories, intelligent automation, governance, security, and AI-native delivery teams to transform how software and technology services are delivered.By embedding AI across the entire delivery lifecycle, from planning and engineering to testing, operations, and service management, Hyperfactory enables organizations to accelerate delivery, improve quality, optimize costs, and achieve measurable business outcomes while maintaining enterprise-grade control, compliance, and transparency.This role will be responsible for driving Hyperfactory adoption across the assigned portfolio and ensuring AI-native delivery practices become foundational to how teams operate from transition through steady-state delivery.ResponsibilitiesOwn end-to-end delivery of a strategic portfolio consisting of multiple programs, projects, products, and managed services engagementsServe as the single point of accountability for portfolio performance, delivery excellence, customer satisfaction, and business outcomesDrive operational excellence, continuous improvement, and delivery predictability across the portfolioLead transition activities from incumbent vendors and legacy delivery organizations, including migration, stabilization, and Knowledge Transfer (KT) plans with minimal business disruptionEstablish transition governance, risk management, and executive reporting mechanismsSuccessfully transition services into steady-state operations while meeting agreed stabilization targetsEstablish and operationalize an AI Hyperfactory delivery model and define the portfolio's AI-native transformation roadmapDrive adoption of AI across software engineering, quality engineering, testing, release management, operations, support, and delivery governanceImplement AI-enabled engineering practices including code generation, code reviews, automated testing, intelligent operations, knowledge management, and delivery analyticsBuild reusable AI accelerators, frameworks, playbooks, and best practices that can be scaled across the portfolioDrive measurable improvements in engineering productivity, delivery velocity, quality, and operational efficiency through AI adoptionLead organizational change and transformation of traditional teams into AI-first engineering organizationsMonitor portfolio health, dependencies, risks, issues, and mitigation plansOwn achievement of all SLAs, KPIs, OLAs, and contractual service commitmentsLead executive escalations and resolution of critical delivery issuesBuild trusted relationships with client executives, business leaders, and technology stakeholdersLead steering committees, governance reviews, and executive business reviewsPartner with client leadership to align delivery priorities with strategic business goals and transformation initiativesOwn portfolio financial performance, including revenue, margin, utilization, forecasting, and cost optimizationSupport account growth, renewals, transformation opportunities, and strategic initiativesBuild, lead, and scale high-performing global delivery teams, driving talent development, succession planning, and leadership growthFoster a culture of accountability, innovation, collaboration, and continuous learningRequirementsBachelor's degree in Engineering, Computer Science, Information Systems, Business, or a related field15+ years of experience in technology delivery, program management, managed services, or digital transformation leadership8+ years of experience leading large-scale portfolios, programs, or enterprise client engagementsProven experience managing multi-million-dollar portfolios with accountability for delivery, customer outcomes, and financial performanceDemonstrated success leading complex transitions from incumbent vendors, including knowledge transfer, stabilization, and operational transformationStrong experience operating within outcome-based, SLA-driven, or managed services delivery environmentsExperience leading globally distributed teams across onshore, nearshore, and offshore delivery modelsDeep understanding of Agile, DevOps, Product Engineering, Cloud, and modern software delivery practicesStrong executive stakeholder management, governance, and communication skillsProven experience leading enterprise-scale AI Native Engineering transformationsDemonstrated experience establishing and operationalizing AI Hyperfactory or AI-powered delivery operating modelsExperience implementing AI-enabled software engineering, testing, operations, service management, and delivery governance practicesTrack record of driving AI adoption and achieving measurable improvements in productivity, quality, speed-to-market, and operational efficiencyStrong understanding of Generative AI, AI agents, intelligent automation, responsible AI, governance, and enterprise AI operating modelsNice to haveExperience within Insurance, Financial Services, Banking, or other highly regulated industriesExperience leading large-scale application modernization, digital transformation, cloud transformation, and managed services programsPMP, SAFe, PMI-ACP, Scrum, ITIL, or equivalent certificationsExperience with Microsoft Copilot, Azure AI, GenAI platforms, Agentic AI frameworks, and modern AI-enabled engineering ecosystemsWe offerMedical, 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) ProgramFor remote work in New York City only.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 EPAMThis 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: $130,000 - $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.EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.