Role: Senior Product Owner – Big Data Platform Location - 2 Peachtree Street, NW, Atlanta, GA 30303 Duration: Contract to hire Job Overview: We are looking for a strong Product Owner with a track record as a data analyst or data scientist. As Product Owner Advanced Analytics, you build outstanding Mercedes-Benz data products delivering business value to drive sales, improve efficiency, and improve customer satisfaction by making quality assured data actionable. You will envision the future architecture of AI and ML Ops, leverage the Big Data platform to build, synergize & establish data culture. You analyze and understand data structures match them with the state-of-the-art technologies. You translate user/customers voices into EPICs and user stories. You are working with other parties to ensure all compliance; legal and security standards are met. You are aiming for a high degree of automation with your product team. In alignment with the Product Manager of Big Data Platform you build a value-based product roadmap and set priority based on business value, delivery capabilities and other factors. Responsibilities:
Develop and implement Data Science and Reports by steering the Data Insights and Advanced Analytics team in close collaboration with the BigData Platform team
Plan, design and realize Data Science and Reports
Build deep understanding of the Internal and external customer needs to consult the teams to develop data science and reports that attract the customer and provide business added value.
Participate and be a part of the DevOps team in scrum events such as Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective
Code Reviews. Ensure that the developed code based on best practices and frameworks to ensure compliance with security standards and industry standards
Drive business process innovation with new IT technologies (continuous technology trend monitoring in Data related areas)
Qualifications
This position requires a minimum 5+ years' of overall work experience.
Information Technology and Data Analysis (hands on experience)
Experience in Python, R, Scala and Databricks
Working experience of AI & ML Ops
Working knowledge of CI/CD toolchain
Experience with cloud technologies, FOSS, API and data warehousing
Data/Information architecture and data analysis
Agile development practices (SAFe, Scrum)
Additional successful Product Owners have several of the following core skills:
Product Backlog Management & Facilitation
Agile Frameworks/Methodologies
Value-based Prioritization Techniques
Outcome-based roadmap creation and management
Stakeholder Management
Release Planning and Communications
Education:
S. or M.S. in Technical Discipline (Science, Technology, Engineering, Mathematics) or equivalent experience
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