Portfolio Delivery Director - AI Native Engineering & Hyperfactory Transformation

EPAM Systems Inc; Los Angeles (CA); Remote; USD 130,000 - 205,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts

Disability Insurance

Life Insurance

Employee Assistance Program

401(k) Matching

Paid Time Off

Paid Holidays

Employee Stock Purchase Program

Annual Bonus Program

Job summary

EPAM Systems, Inc. seeks a Portfolio Delivery Director for AI Native Engineering & Hyperfactory Transformation to lead a strategic portfolio within a major transformation program for an insurance client.

You will own end-to-end delivery across programs, projects, products, and managed services, driving AI-native practices and governance from transition through steady-state delivery. The role emphasizes building AI-enabled engineering, shaping the AI Hyperfactory operating model, and delivering

Qualifications

• Bachelor's degree in Engineering, CS, IS, or Business
• 15+ years in technology delivery, program management, managed services, or digital transformation leadership
• 8+ years leading large-scale portfolios or enterprise client engagements
• Proven experience managing multi-million-dollar portfolios
• Experience leading transitions from incumbent vendors
• Strong experience in outcome-based, SLA-driven delivery environments
• Experience leading globally distributed teams
• Deep understanding of Agile, DevOps, Cloud and modern software delivery practices
• Strong executive stakeholder management, governance, and communication skills
• Proven experience establishing AI-native delivery models and AI Hyperfactory implementations

Responsibilities

• Own end-to-end delivery of a strategic portfolio consisting of multiple programs, projects, products, and managed services engagements
• Single point of accountability for portfolio performance, delivery excellence, customer satisfaction, and business outcomes
• Drive operational excellence, continuous improvement, and delivery predictability across the portfolio
• Lead transition activities from incumbent vendors with KT plans and minimal disruption
• Establish transition governance, risk management, and executive reporting mechanisms
• Transition services into steady-state operations while meeting stabilization targets
• Establish and operationalize an AI Hyperfactory delivery model and AI-native transformation roadmap
• Drive adoption of AI across software engineering, testing, operations, and delivery governance
• Implement AI-enabled engineering practices and reusable accelerators
• Drive measurable improvements in productivity, quality, speed-to-market, and operational efficiency
• Lead organizational change to AI-first engineering
• Monitor portfolio health, dependencies, risks, and mitigation plans
• Own achievement of SLAs, KPIs, OLAs, and contractual commitments
• Lead executive escalations and resolution of critical delivery issues
• Build relationships with client executives and stakeholders
• Lead steering committees and governance reviews
• Partner with client leadership to align delivery priorities with business goals
• Own portfolio financial performance including revenue, margin, utilization, and forecasting
• Support account growth, renewals, and transformation opportunities
• Build and scale high-performing global delivery teams
• Foster a culture of accountability, innovation, collaboration, and continuous learning

Skills

Portfolio leadership

AI delivery

Agile

Executive communication

Transitions management

Global delivery

Education

Bachelor's degree in Engineering, Computer Science, Information Systems, or Business

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 Hyperfactory

EPAM'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.

Responsibilities

• Own end-to-end delivery of a strategic portfolio consisting of multiple programs, projects, products, and managed services engagements

• Serve as the single point of accountability for portfolio performance, delivery excellence, customer satisfaction, and business outcomes

• Drive operational excellence, continuous improvement, and delivery predictability across the portfolio

• Lead transition activities from incumbent vendors and legacy delivery organizations, including migration, stabilization, and Knowledge Transfer (KT) plans with minimal business disruption

• Establish transition governance, risk management, and executive reporting mechanisms

• Successfully transition services into steady-state operations while meeting agreed stabilization targets

• Establish and operationalize an AI Hyperfactory delivery model and define the portfolio's AI-native transformation roadmap

• Drive adoption of AI across software engineering, quality engineering, testing, release management, operations, support, and delivery governance

• Implement AI-enabled engineering practices including code generation, code reviews, automated testing, intelligent operations, knowledge management, and delivery analytics

• Build reusable AI accelerators, frameworks, playbooks, and best practices that can be scaled across the portfolio

• Drive measurable improvements in engineering productivity, delivery velocity, quality, and operational efficiency through AI adoption

• Lead organizational change and transformation of traditional teams into AI-first engineering organizations

• Monitor portfolio health, dependencies, risks, issues, and mitigation plans

• Own achievement of all SLAs, KPIs, OLAs, and contractual service commitments

• Lead executive escalations and resolution of critical delivery issues

• Build trusted relationships with client executives, business leaders, and technology stakeholders

• Lead steering committees, governance reviews, and executive business reviews

• Partner with client leadership to align delivery priorities with strategic business goals and transformation initiatives

• Own portfolio financial performance, including revenue, margin, utilization, forecasting, and cost optimization

• Support account growth, renewals, transformation opportunities, and strategic initiatives

• Build, lead, and scale high-performing global delivery teams, driving talent development, succession planning, and leadership growth

• Foster a culture of accountability, innovation, collaboration, and continuous learning

Requirements

• Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or a related field

• 15+ years of experience in technology delivery, program management, managed services, or digital transformation leadership

• 8+ years of experience leading large-scale portfolios, programs, or enterprise client engagements

• Proven experience managing multi-million-dollar portfolios with accountability for delivery, customer outcomes, and financial performance

• Demonstrated success leading complex transitions from incumbent vendors, including knowledge transfer, stabilization, and operational transformation

• Strong experience operating within outcome-based, SLA-driven, or managed services delivery environments

• Experience leading globally distributed teams across onshore, nearshore, and offshore delivery models

• Deep understanding of Agile, DevOps, Product Engineering, Cloud, and modern software delivery practices

• Strong executive stakeholder management, governance, and communication skills

• Proven experience leading enterprise-scale AI Native Engineering transformations

• Demonstrated experience establishing and operationalizing AI Hyperfactory or AI-powered delivery operating models

• Experience implementing AI-enabled software engineering, testing, operations, service management, and delivery governance practices

• Track record of driving AI adoption and achieving measurable improvements in productivity, quality, speed-to-market, and operational efficiency

• Strong understanding of Generative AI, AI agents, intelligent automation, responsible AI, governance, and enterprise AI operating models

Nice to have

• Experience within Insurance, Financial Services, Banking, or other highly regulated industries

• Experience leading large-scale application modernization, digital transformation, cloud transformation, and managed services programs

• PMP, SAFe, PMI-ACP, Scrum, ITIL, or equivalent certifications

• Experience with Microsoft Copilot, Azure AI, GenAI platforms, Agentic AI frameworks, and modern AI-enabled engineering ecosystems

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: $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.

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.