Senior Lead Product Manager (Data Platform)

TL;DR

Senior Lead Product Manager (Data Platform & Analytics): Defining and driving the vision for a unified, multi-tenant data platform powering analytics across multiple product lines with an accent on scalable data architecture and commercialization. Focus on building embedded analytics, Data Lake-as-a-Service, and integrating AI/ML-driven predictive capabilities.

Location: Remote (Must be based in the United States)

Company

Enterprise software environment focusing on large-scale data transformation initiatives.

What you will do

• Lead the end-to-end strategy for a unified data platform and analytics ecosystem spanning multiple product lines.
• Develop a roadmap covering embedded analytics, Data Lake-as-a-Service, and AI/ML-driven predictive capabilities.
• Establish scalable data architecture principles, including ingestion frameworks, standardized schemas, and semantic layers.
• Drive commercialization strategy for analytics products, including packaging, pricing, and monetization models.
• Collaborate with Sales, Marketing, and Customer Success to enable go-to-market execution and customer adoption.
• Engage with customers to identify high-value analytics use cases such as forecasting and optimization.

Requirements

• 5+ years of product management experience in enterprise software or SaaS environments.
• Proven success in launching and scaling data platforms, data lakes, or enterprise analytics products.
• Strong understanding of cloud data architectures, ETL/ELT pipelines, APIs, and multi-tenant systems.
• Experience defining commercial strategies, including pricing, packaging, and ROI-driven positioning.
• Ability to operate effectively and influence stakeholders within complex, matrixed organizations.
• Must be based in the United States.

Nice to have

• Experience with AWS data stack (S3, Lake Formation, Athena, Redshift, QuickSight).
• Experience in industrial or process manufacturing domains.
• Knowledge of applied AI/ML use cases.

Culture & Benefits

• Remote-first flexibility within the United States.
• Comprehensive health, dental, and vision insurance coverage.
• Strong emphasis on innovation and AI/ML-driven product development.
• Collaborative, cross-functional environment with high ownership and autonomy.
• Career growth opportunities in a rapidly evolving data and analytics organization.