Senior Data Platform Product Manager for Analytics & AI

CLEAR DEMAND Inc.; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

ClearDemand Inc. is seeking an experienced Data Product Manager to own the data platform, backend data architecture, and foundational data capabilities powering our Analytics and Intelligence solutions.

The role requires translating complex business and analytical requirements into scalable data products within a fast-paced SaaS environment, partnering with Engineering, Data Science, Analytics, and Product teams to deliver reliable data services.

Qualifications

• 5-8+ years of Product Management experience in data platforms or analytics.
• Strong technical understanding of data architecture, data modeling, pipelines, data warehouses.
• Experience defining data products for BI, analytics, and AI/ML.
• Familiarity with cloud platforms such as GCP and modern data technologies.

Responsibilities

• Own the product strategy, roadmap, and delivery of foundational data platform capabilities.
• Define requirements for backend data structures, models, pipelines, and services for analytics.
• Partner with Engineering, Data Science, Analytics, and Product teams to translate business needs into data product requirements.
• Drive data standardization, quality, governance, accessibility, and reusability across product lines.
• Define clear success metrics for data reliability, performance, scalability, and cost efficiency.
• Balance long-term platform investments with immediate product and customer needs.

Skills

Data product management

Data platform architecture

Analytics & BI

Cloud data infrastructure

Stakeholder management

Agile execution

Requirements discovery

Data modeling

Job description

ClearDemand Inc. is seeking an experienced Data Product Manager to own the data platform, backend data architecture, and foundational data capabilities powering our Analytics and Intelligence solutions.

The role requires translating complex business and analytical requirements into scalable data products within a fast-paced SaaS environment, partnering with Engineering, Data Science, Analytics, and Product teams to deliver reliable data services.