Agile Programming Methodologies, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Bridge Building, Business Skills, Civil Engineering, Communication Skills, Data Management, GitHub, Literacy, Mock Up, Quality Engineering, Requirements Management, Software Development Lifecycle (SDLC), Team Lead/Manager, Test Automation, Test Scenario
ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted Bill Rate- hr
REQUIREMENT_CITY -Philadelphia (Hybrid) preferred
REQUIREMENT_ID-10801947
Role Name - Product Owner
ROLE_DESCRIPTION -
Responsibilities (Technical Product Owner Spec-driven AI)
1. Define clear, structured specifications Create precise, testable, and AI-consumable requirements (user stories, acceptance criteria, edge cases).
2. Requirement Gathering - Able to gather business requirements and translate them into clear, detailed specifications for development teams
3. Experience in prompt engineering, with understanding of mock-up fields and specification-driven development
4. Experience working across ARTs and managing multiple teams
5. Knowledge of data and system pipelines, with the ability to interpret and work within them
6. Enable AI-driven development Shape requirements so tools like GitHub Copilot and automation frameworks can effectively generate code and tests.
7. Align stakeholders Bridge business, engineering, and QE teams to ensure shared understanding of specifications and outcomes.
8. Drive test-first approach Ensure specifications directly translate into automated test scenarios (e.g., Playwright).
9. Support standardization efforts Contribute to building reusable frameworks, templates, and governance for cross-team adoption.
Skillsets
1. Technical understanding Knowledge of APIs, SDLC, automation frameworks, and ability to interpret code and system design.
2. Specification writing expertise Ability to create detailed, unambiguous, and testable requirements (e.g., structured formats).
3. AI literacy Understanding of AI tools (e.g., Copilot), prompt engineering basics, and validating AI-generated outputs.
4. Quality engineering mindset Strong focus on edge cases, negative scenarios, and automation-first thinking.
5. Communication & analytical skills Ability to break down complex problems and clearly translate business needs into technical specifications.
6. Strong communication and stakeholder management (excellent soft skills)
Skills: Product Owner
Experience Required: 10 & Abovee
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