Product Owner III
The AES Group · Peoria, IL · 1 mo ago
HybridMarketingFull-time
About the role
The AES Group is a premier technology and engineering consulting company with over 20 years of experience delivering innovative solutions in cloud, data, AI, engineering, and other emerging technologies. We have supported over 40 business enterprises, including Fortune 500 companies, in engaging their customers, empowering their employees, and transforming their business operations.
Responsibilities
- Own and prioritize product backlogs based on business value, dependencies, risks, and delivery timelines.
- Lead sprint planning, backlog refinement, grooming, release planning, and Agile ceremonies.
- Translate business needs into user stories, acceptance criteria, and technical requirements.
- Collaborate with engineering teams on product design, development, maintenance, and enhancements.
- Manage software defects, reliability issues, enhancement requests, and change requests.
- Participate in UAT and validate deliverables against requirements and acceptance criteria.
- Track product risks, dependencies, issue resolution, and delivery status.
- Support product implementation, integration, adoption, and continuous improvement.
- Communicate clearly with engineering, QA, support, and business stakeholders.
Requirements
- Bachelor's degree with 5-7 years of relevant experience.
- An equivalent combination of education and 8-10 years of experience may be considered.
- Experience as a Product Owner, Technical Product Owner, Business Analyst, or Software Product Manager.
- Strong knowledge of Agile Scrum, backlog management, sprint planning, UAT, and SDLC.
- Experience supporting enterprise software, cloud applications, or large-scale IT products.
- Strong stakeholder management, analytical, decision-making, and communication skills.
- Ability to coordinate multiple Scrum teams and competing priorities.
- A stable employment history with demonstrated long-term contributions.
Preferred Qualifications
- Experience with Generative AI products, AI/ML platforms, and LLMs.
- Experience with Azure OpenAI, OpenAI technologies, Amazon Bedrock, or Google Vertex AI.
- Experience with data engineering and Python development.
- Experience with enterprise cloud software and product lifecycle management.