Senior Technical Product Owner

About the role

Our client seeks a Senior Technical Product Owner to drive a multi-phase platform modernization. The role focuses on backlog ownership, prioritization, stakeholder alignment, and delivery execution for a rewrite of a critical internal platform that processes high-volume customer usage and file-based data. The Product Owner will bridge business stakeholders, architecture, and engineering while leveraging AI-assisted development practices.

Responsibilities

• Own and manage the product backlog for an enterprise-scale platform modernization initiative.
• Translate business objectives and technical requirements into actionable user stories and clear acceptance criteria.
• Prioritize work across multiple delivery pods in a Kanban-based environment based on dependencies, critical path, and business value.
• Coordinate cross-pod dependencies across backend and UI teams and serve as primary interface between development and stakeholders.
• Plan and oversee execution, track phase exit criteria, and escalate risks to delivery.
• Facilitate alignment among business stakeholders, architects, and engineering teams throughout the SDLC.
• Assess delivered functionality against requirements and acceptance criteria and support phased releases.
• Partner with distributed onshore and offshore teams to ensure delivery outcomes.
• Leverage AI-enabled SDLC practices and tools to improve delivery efficiency and quality.

Experience Requirements

• 6+ years as a Product Owner, Technical Product Owner, Product Manager, or similar role supporting software delivery teams.
• Proven experience owning and prioritizing large backlogs in Agile or Kanban environments, including enterprise platform builds and modernization efforts.
• Experience managing large-scale backlogs across multiple teams and coordinating dependencies.
• Strong understanding of APIs, system integrations, and application architecture concepts, including data processing platforms, ETL or ELT pipelines, or streaming architectures.
• Understanding of event-driven architecture concepts such as Kafka.
• Experience writing detailed user stories and acceptance criteria.
• Experience working directly with engineers, architects, and technical leads, including distributed onshore and offshore teams.
• Familiarity with AI-assisted development workflows and professional use of tools such as GitHub Copilot, Kiro, Cursor, or similar.

Preferred

• Telecommunications or usage data processing experience.
• Familiarity with Kubernetes or containerization at a high level.