Dell Engineering Technologist CTO Office Pursuits 

United States, Texas, Austin 

635578738

As a Data Science Senior Advisor-Product Owner, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:

• Craft and communicate a compelling product roadmap for AI/ML-powered platforms and features.
• Collaborate with data scientists, engineers, and business stakeholders to turn strategic goals into actionable product requirements and translate complex AI capabilities into intuitive, user-centric experiences.
• Own the end-to-end product lifecycle—from ideation and design to development, testing, and launch and manage the product backlog to ensure the team is focused on delivering high-value features.
• Use user feedback and performance data to refine features and optimize product-market fit.
• Participate in Agile ceremonies and foster a culture of continuous improvement.

Essential Requirements

• Bachelor’s or Master’s with 8 to 12 years in Product Management, Computer Science, or related field with proven success in delivering AI/ML-based products—especially in NLP, Deep Learning, or Generative AI.
• 3–6 years in dedicated Product Management or Ownership roles.
• Strong grasp of Agile methodologies and tools like JIRA, Confluence.
• Exceptional communication, leadership, and stakeholder management skills.
• Strategic mindset with a passion for solving real-world problems through AI.

Desirable Requirements

• Familiarity with MLOps and model deployment workflows with ability to manage multiple initiatives in a dynamic environment.
• Exposure to big data technologies (Kafka, Spark, Hadoop) and experience working with UX/UI teams to deliver intuitive user experiences.