1 месяц назад
SVP of Data Platforms and AI
50 000 - 60 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SVP of Data Platforms and AI (Enterprise Data and AI): Leading the strategy and evolution of enterprise data platforms, analytics ecosystems, and AI/ML product portfolios with an accent on data warehousing, business intelligence, governance, and production AI capabilities. Focus on defining product roadmaps, scaling cross-functional product organizations, embedding reliability and AI oversight, and measuring business impact.
Location: 100% remote; listed locations include the United States and Germany
Salary: €50,000–€60,000 gross per year
Company
is presenting an executive opportunity with a leading enterprise organization focused on data platforms, analytics, and AI capabilities.
What you will do
- Define and lead the long-term product vision and roadmap for enterprise data platforms, BI, analytics, and AI/ML products.
- Lead 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.
- Own the AI/ML product portfolio, including predictive analytics, intelligent automation, retrieval systems, and generative AI experiences.
- Partner with Engineering, Data, Infrastructure, Design, Customer Success, and executive stakeholders.
- Build and scale product organizations while communicating priorities, roadmap progress, KPIs, and business outcomes to leadership.
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.
Culture & Benefits
- 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.
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