Product Owner with Databricks, Data Analytics and AI

Product Owner Databricks, Analytics & AI
Location: Hyderabad / Bangalore

Key Responsibilities

• Own and prioritize the product backlog for Analytics, Data, and AI initiatives.
• Work with business stakeholders to gather requirements and translate them into user stories.
• Define and maintain the product roadmap aligned with business goals.
• Collaborate with Product Managers, Data Engineers, Data Scientists, and Analytics teams to deliver solutions.
• Lead backlog refinement, sprint planning, reviews, and other Agile ceremonies.
• Ensure successful delivery of Databricks, Analytics, Reporting, and AI/ML capabilities.
• Manage dependencies, risks, timelines, and delivery milestones.
• Act as the voice of the customer and ensure solutions meet business needs.
• Monitor product performance and track business value realization.
• Drive stakeholder engagement and communicate progress regularly.

Skills & Experience Required

• 9+ years of experience as a Product Owner, Business Analyst, or Product Delivery professional.
• Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field.
• Strong understanding of Agile, Scrum, and SAFe methodologies.
• Experience working with Databricks, Analytics, Data Engineering, or AI/ML projects.
• Knowledge of cloud data platforms such as Azure Databricks, Azure Data Factory, Synapse, or similar technologies.
• Experience managing product backlogs, user stories, and roadmaps.
• Strong stakeholder management, communication, and facilitation skills.
• Analytical mindset with strong problem-solving capabilities.
• Proficiency in Jira, Confluence, Azure DevOps, or similar tools.
• Experience in Financial Services or Banking domains is an advantage.
• SAFe POPM or CSPO certification is a plus.

Preferred Skills

• Exposure to AI/ML, Generative AI, and advanced analytics solutions.
• Understanding of data governance, data quality, and cloud-based analytics platforms.
• Experience delivering enterprise data and analytics products.