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Technical Product Owner AI/ML Platform - Deutsche Bank
Product Manager
Technical Product Owner driving the AI/ML Platform vision, roadmap and delivery, bridging data science needs with engineering teams using Python, MLOps practices, Kubernetes, Docker and AWS.
About the role
Key Responsibilities
- Define and maintain the product vision, roadmap and backlog for the AI/ML platform, ensuring alignment with data science and engineering goals.
- Collaborate with data scientists, ML engineers and platform teams to translate complex ML lifecycle requirements into actionable user stories and technical specifications.
- Prioritize features, manage sprint planning and drive delivery of MLOps capabilities such as model training pipelines, model serving, monitoring and governance.
- Oversee integration of cloud services (AWS), container orchestration (Kubernetes) and CI/CD tooling (Docker, GitOps) to enable scalable, reliable model deployment.
- Act as the primary liaison between business stakeholders and technical teams, communicating progress, risks and outcomes in an Agile environment.
Requirements
- 5+ years of experience in product ownership or technical leadership for AI/ML platforms or related data‑intensive products.
- Strong hands‑on knowledge of Python and MLOps frameworks, including model training, versioning, deployment and monitoring.
- Proficiency with cloud platforms (AWS), container technologies (Kubernetes, Docker) and CI/CD pipelines.
- Demonstrated ability to work in Agile/Scrum teams, manage backlogs and deliver incremental value.
- Excellent communication skills to translate technical concepts for both engineering and business audiences.
Skills
pythonmlopskubernetesdockerawsagile