Senior Lead Product Manager, Data Platform & Analytics

New

United StatesFull-TimeLead

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Experience: 5+ years
Required Skills: AWSArtificial IntelligenceETLMachine LearningProduct ManagementRESTful APIsSaaS

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, semantic modeling, and multi-tenant systems.
Experience defining commercial strategies, including pricing, packaging, and ROI-driven product positioning.
Ability to operate effectively in complex, cross-functional, or matrixed organizations.
Strong stakeholder management skills with the ability to influence without direct authority.
Preferred: experience with AWS data stack (S3, Lake Formation, Athena, Redshift, QuickSight), industrial or process manufacturing domains, and applied AI/ML use cases.

Define and lead the end-to-end strategy for a unified data platform and analytics ecosystem spanning multiple product lines and business units.
Build and evolve a roadmap covering embedded analytics, advanced dashboards, Data Lake-as-a-Service, and AI/ML-driven predictive capabilities.
Establish scalable data architecture principles including ingestion frameworks, standardized schemas, semantic layers, and data contracts.
Drive commercialization strategy for analytics products, including packaging, pricing, and monetization models.
Partner with Sales, Marketing, and Customer Success to enable go-to-market execution, demos, and customer adoption.
Collaborate across teams to align data governance, ensure platform consistency, and prevent fragmented or conflicting data logic.
Engage with customers to identify high-value analytics use cases such as forecasting, optimization, and predictive insights.

View Full Description & ApplyYou'll be redirected to the employer's site