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Sr.Data Product Manager(Remote)-Enterprise Data&AI Platform

Tandym TechNew York, NY🇺🇸United StatesPosted 29 Jul 2026

Why This Role Stands Out

This remote Senior Data Product Manager role offers a significant opportunity to shape the future of an enterprise Data & AI platform, driving innovation and impacting key business outcomes. You'll thrive here if you're a strategic product leader with a passion for data and AI, eager to collaborate with executive leadership and diverse teams to deliver scalable solutions. Apply now to leverage your expertise and grow your career in a dynamic, forward-thinking environment.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description




A leading enterprise organization is seeking a Senior Data Product Manager, Enterprise Data & AI Platform to guide the vision, roadmap, and delivery of a next-generation data and AI platform. This role focuses on enabling scalable analytics, machine learning, and AI-powered capabilities across the enterprise.


About the Opportunity:




  • Schedule: Monday through Friday




  • Hours: Standard business




  • Setting: Remote




Responsibilities:




  • Define and own the product vision, strategy, and multi-year roadmap for enterprise Data & AI platform capabilities.




  • Partner with executive leadership to align platform investments with organizational priorities and business outcomes.




  • Translate complex business objectives into scalable data products, AI capabilities, and platform services.




  • Lead large, cross-functional initiatives across product, engineering, data science, architecture, security, compliance, and operations teams.




  • Own product backlogs, prioritization frameworks, release planning, and adoption strategies while monitoring success metrics and business value realization.




Qualifications:




  • 8+ years of product management experience, including significant experience leading enterprise data, analytics, or AI initiatives.




  • Proven track record delivering large-scale, cross-functional technology programs spanning multiple stakeholder groups.




  • Experience owning product roadmaps for enterprise data platforms, analytics platforms, AI/ML products, or cloud-native platforms.




  • Strong understanding of modern data architectures and cloud-based data ecosystems.




  • Demonstrated ability to influence senior leadership and drive strategic decisions.




  • Experience operating in highly matrixed organizations with numerous stakeholders and competing priorities.




  • Strong understanding of data platforms and data ecosystems, data warehousing and lakehouse architectures, data governance and metadata management, AI/ML lifecycle management, generative AI and emerging AI technologies, data quality and platform reliability, API-driven architectures, and cloud platforms such as AWS, Azure, or Google Cloud Platform.




Desired Skills:




  • Experience launching AI-enabled products or GenAI capabilities in production environments.




  • Experience partnering with governance, compliance, privacy, and cybersecurity organizations.




  • Experience leading platform modernization initiatives across complex enterprise environments.




  • MBA or advanced degree in a related field.




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