
Dell Technologies is hiring a Data Science Senior Advisor - Product Owner for its Bangalore office. In this full-time role, you will lead the development of AI/ML-powered platforms, manage product roadmaps, and collaborate with cross-functional teams to deliver cutting-edge data solutions that drive strategic decision-making. Join a global leader in technology innovation and shape the future of data science.
Location: Bangalore, India
Job ID: R273945
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As a Data Science Senior Advisor - Product Owner at Dell Technologies, you will:
Define and communicate a compelling product roadmap for AI/ML-driven platforms and features.
Collaborate with data scientists, engineers, and business teams to translate strategic objectives into actionable product requirements.
Oversee the end-to-end product lifecycle: ideation, design, development, testing, and launch.
Manage product backlog to prioritize high-value features and drive continuous delivery.
Use feedback and performance analytics to refine features and enhance product-market fit.
Participate in Agile ceremonies and foster a culture of innovation and continuous improvement.
Bachelor’s or Master’s degree in Product Management, Computer Science, or a related field.
8 - 12 years of experience in delivering AI/ML-based products, especially in NLP, Deep Learning, or Generative AI.
3 - 6 years of experience in dedicated Product Management or Product Ownership roles.
Strong knowledge of Agile methodologies and tools (JIRA, Confluence).
Excellent communication, leadership, and stakeholder management skills.
Familiarity with MLOps and model deployment workflows.
Exposure to big data technologies (Kafka, Spark, Hadoop).
Experience collaborating with UX/UI teams to create user-centric designs.
Ability to manage multiple initiatives in a dynamic environment.
Dell Technologies is a global technology leader dedicated to transforming lives through innovative solutions in data storage, cloud, and digital infrastructure. With a strong focus on AI, big data, and security, Dell empowers organizations to achieve digital transformation at scale. Join a culture of collaboration, learning, and cutting-edge technology development.