[Hiring] Portfolio Delivery Director @EPAM Systems

Role 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
• 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.

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

Qualifications

• 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