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