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Modernize data for AI and advanced analytics by building next-generation tooling that enhances metadata quality, establishes readiness for AI/ML use cases, and simplifies how data is shared and consumed across the enterprise.

Requirements

• 5+ years of experience or equivalent expertise in product management, ideally in data platforms or AI/ML enablement
• Advanced knowledge of the product development life cycle, design, and data analytics
• Strong understanding of product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• Basic awareness of data wrangling, data analytics techniques, and/or visualization techniques such as SQL, Python, or Tableau
• Experience with enterprise-scale data modernization initiatives
• Familiarity with metadata management and data governance practices
• Knowledge of emerging AI/ML technologies and their application in data products

Responsibilities

• Define product vision, roadmap, and execution priorities for tools that modernize data for AI and enterprise consumption
• Break down requirements into epics, user stories, and acceptance criteria, ensuring on-time delivery of features with measurable business impact
• Manage backlog, partner with engineering to design and deliver solutions, track release cycles, and ensure readiness of tooling for both internal pilots and enterprise deployment
• Collaborate with cross-functional teams across data & analytics products, AI/ML platform, engineering, and business products to proactively identify issues and design solutions
• Lead discovery work through consulting and user-centered design to develop insights and hypotheses
• Conduct demos of new functionalities and product features, and drive adoption
• Guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences

Other

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• Strong communication, presentation, and influencing skills; ability to collaborate and build relationships across all levels, including senior executives, in different lines of business, technology, and product teams
• Advanced MS PowerPoint and Excel skills
• Master’s degree in a relevant field
• Demonstrated ability to drive adoption of new technologies and products