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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - **Company:** American CyberSystems - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $114,400.0 - $122,720.0 - **Contract:** Contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Learning Management Systems, Data as a Services, Human Resources Information System (HRIS), Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Power BI, SuccessFactors, Standard Sql, Azure Data Factory, Powerquery - **Published:** August 19, 2026 - **Apply:** https://www.jofdav.com/jobs/59316391-product-owner ## About the Role * 5+ years in Data Science, Analytics Engineering, or Applied ML. * 3-5+ years hands-on with Power BI i.e. DAX, Power Query/M, data modeling, performance tuning. * Strong SQL and data modeling. * Cloud experience (Azure, AWS, or GCP) and modern data services. * Pipelines with Python and one of Airflow/Prefect/dbt Preferred Qualifications * Experience integrating enterprise systems i.e., LMS, HRIS, scheduling, ERP or similar. * LMS integrations (Cornerstone, SuccessFactors, Workday Learning, Docebo, etc.) * Microsoft Certifications (e.g., Azure Data Engineer Associate, Power Platform App Maker). * Experience in training/learning ops or field operations environments. ## Description * Coordinate with the Scrum Master, Delivery Team, and Product Managers in various planning events including Sprint Planning, Program Increment (PI) Planning, etc. * Initiate and translate product road map into manageable product backlog in collaboration with Product Managers and key business stakeholders. * Own and prioritize Team Backlog and responsible for defining and accepting User Stories * Ensures Product Management team has insight and understanding in Product and effective prioritization of Backlog Items. * Liaise with Product Manager to understand the features and changes in product requirements and support the release planning and sprint planning exercises. * Full Understanding of Epic, Feature, Story breakdown and alignment to backlog. * Establish partnership and working alignment with Delivery team and Product Management team enabling value driven delivery. * Keen understanding of the Product(s) and serves as a Subject Matter Expert to the team and external partners. * Serve as mentor for junior Product Owners cultivating and growing skillset, Agile mindset, and ability to unlock value delivery. * Champion and drive delivery through the Five Levels of Agile Planning: Vision, Roadmap, Release Plan, Sprint Plan, Day Plan. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)