Technical Product Owner

About the role

Position Title: Technical Product Owner
Location: Denver (6360 S Fiddlers Green Cir) or STL (13736 Riverport Dr) - no preference
Rate: $55/hr max
Duration: on-going contract
WFH/On-site
Schedule: 4/1
Team Overview: Sits within Mobile SDIT and has 2 teams. The main team is an MIS Python/ETL based tool team, and the new one is a re-write of a customer-based tool. His team is not core Java Development, it’s working with very large data sets, with a big focus on AI. Team is a mix of on-shore/off-shore developers, including a Scrum Master and a TPO on-shore.

Responsibilities

• Prioritizing the backlog
• Defining the roadmap
• Writing technical stories
• Creating the acceptance criteria for the team
• Driving/Leading discussions with leadership stakeholders then translating those asks into criteria for architecture and development
• Driving the work, alongside the Scrum Master

Requirements

• 5–10 years as a Technical Product Owner, Product Manager, or BA on enterprise platform builds
• Experience managing large-scale backlogs (100+ requirements) across multiple teams
• Strong Agile/Scrum and backlog management (Jira preferred)
• Experience with data processing platforms, ETL/ELT pipelines, or streaming architectures
• Understanding of Kafka / event-driven architecture concepts
• Experience managing distributed/offshore teams
• Familiarity with AI-assisted development workflows
• Professional experience using AI tools (Kiro / Cursor / GitHub Copilot) in a work setting
• Familiarity with Kubernetes/containerization at a high level
• Development model is AI-assisted using Kiro
• Key Responsibilities & Skills: Technical Product Ownership, Backlog Management & Prioritization, Roadmap Definition, Acceptance Criteria Creation, Stakeholder Management, Cross-Functional Team Coordination, Enterprise-Scale Requirement Management, AI-Assisted Development Mindset, Telecom Usage Data Expertise, Large Data Set Handling, Technical Skills, Python / ETL / ELT Pipelines, Kafka / Event-Driven Architecture, AI Tools (Kiro / Cursor / GitHub Copilot), Kubernetes / Containerization, Jira (Agile & Scrum), SQL (Data Querying), Distributed / Offshore Team Collaboration

Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Business Administration, Telecommunications Engineering
• Preferred: MBA, Master's in Computer Science, Master's in Data Science, Master's in Telecommunications Engineering

Skills

• Telecommunications
• AI / Machine Learning
• Data Engineering
• Enterprise Software Platforms
• Cloud Services