Job description

SVP of Product for Data Platforms and AI 100% Remote A leading enterprise organization is seeking an SVP of Product to lead the strategy and evolution of its enterprise data platform, analytics ecosystem, and AI/ML product portfolio. This executive leadership role will oversee the product vision and roadmap across data warehousing, business intelligence, analytics, and AI-enabled capabilities, helping transform enterprise data assets into measurable business value and competitive advantage. The successful candidate will partner closely with Product, Engineering, Data, Infrastructure, and executive leadership teams to deliver scalable, governed, and high-impact data and AI solutions across a complex regulated environment. Key Responsibilities • Define and lead the long-term product vision and roadmap for enterprise data platforms, BI and analytics capabilities, and AI/ML products • Lead product strategy across data warehouses, data lakes, semantic layers, ingestion pipelines, and enterprise analytics platforms • Drive self-service analytics, executive reporting, embedded analytics, and decision-support capabilities across the organization • Own the AI/ML product portfolio, including predictive analytics, intelligent automation, retrieval systems, generative AI experiences • Evaluate and prioritize existing initiatives, platform investments, and product opportunities • Partner cross-functionally with Engineering, Data, Infrastructure, Design, Customer Success, and executive stakeholders • Ensure enterprise standards for governance, reliability, auditability, and AI oversight are embedded across products and platforms • Define and monitor KPIs related to platform adoption, analytics usage, AI/ML effectiveness, operational efficiency, and business impact • Build, mentor, and scale high-performing product organizations • Communicate strategic priorities, roadmap progress, and business outcomes to executive leadership and stakeholders Requirements • 12+ years of product management experience • 5+ years leading product organizations at VP or SVP level • Proven experience leading enterprise data platform, analytics, or AI/ML product initiatives • Experience delivering AI/ML products into production environments • Experience leading large-scale, cross-functional product organizations What You Get • Executive ownership of enterprise data and AI strategy • Opportunity to shape next-generation analytics and AI capabilities • High visibility and influence across the organization • Collaborative and innovation-focused environment • Fully remote working model

Requirements

Must-haves

SVP of Product for Data Platforms and AI
A leading enterprise organization is seeking an SVP of Product to lead the strategy and evolution of its enterprise data platform, analytics ecosystem, and AI/ML product portfolio.
Define and lead the long-term product vision and roadmap for enterprise data platforms, BI and analytics capabilities, and AI/ML products
Lead product strategy across data warehouses, data lakes, semantic layers, ingestion pipelines, and enterprise analytics platforms
Drive self-service analytics, executive reporting, embedded analytics, and decision-support capabilities across the organization
Own the AI/ML product portfolio, including predictive analytics, intelligent automation, retrieval systems, generative AI experiences
Evaluate and prioritize existing initiatives, platform investments, and product opportunities
Partner cross-functionally with Engineering, Data, Infrastructure, Design, Customer Success, and executive stakeholders
Ensure enterprise standards for governance, reliability, auditability, and AI oversight are embedded across products and platforms
Define and monitor KPIs related to platform adoption, analytics usage, AI/ML effectiveness, operational efficiency, and business impact
Build, mentor, and scale high-performing product organizations
Communicate strategic priorities, roadmap progress, and business outcomes to executive leadership and stakeholders
12+ years of product management experience
5+ years leading product organizations at VP or SVP level
Proven experience leading enterprise data platform, analytics, or AI/ML product initiatives
Experience delivering AI/ML products into production environments
Experience leading large-scale, cross-functional product organizations
What You Get
Executive ownership of enterprise data and AI strategy
Opportunity to shape next-generation analytics and AI capabilities
High visibility and influence across the organization
Collaborative and innovation-focused environment
Fully remote working model

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiml

Platform: careers-page
Effort: medium

Benefits

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Vision