<p>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.</p><p><strong>About the Opportunity:</strong></p><ul><li><strong>Schedule:</strong> Monday through Friday</li><li><strong>Hours:</strong> Standard business</li><li><strong>Setting:</strong> Remote</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Define and own the product vision, strategy, and multi-year roadmap for enterprise Data & AI platform capabilities</li><li>Partner with executive leadership to align platform investments with organizational priorities and business outcomes</li><li>Translate complex business objectives into scalable data products, AI capabilities, and platform services</li><li>Lead large, cross-functional initiatives across product, engineering, data science, architecture, security, compliance, and operations teams</li><li>Own product backlogs, prioritization frameworks, release planning, and adoption strategies while monitoring success metrics and business value realization</li></ul><p><strong>Qualifications:</strong></p><ul><li>8+ years of product management experience, including significant experience leading enterprise data, analytics, or AI initiatives</li><li>Proven track record delivering large-scale, cross-functional technology programs spanning multiple stakeholder groups</li><li>Experience owning product roadmaps for enterprise data platforms, analytics platforms, AI/ML products, or cloud-native platforms</li><li>Strong understanding of modern data architectures and cloud-based data ecosystems</li><li>Experience operating in highly matrixed organizations with numerous stakeholders and competing priorities</li><li>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 GCP.</li></ul><p><strong>Desired Skills:</strong></p><ul><li>MBA or advanced degree in a related field</li><li>Experience launching AI-enabled products or GenAI capabilities in production environments</li><li>Experience partnering with governance, compliance, privacy, and cybersecurity organizations</li><li>Experience leading platform modernization initiatives across complex enterprise environments<br></li></ul>