Senior Data Platform PM - Analytics & AI

CLEAR DEMAND Inc.; Oregon; Hybrid; USD 140,000 - 180,000; Full time

Job summary

CLEAR DEMAND 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 in a fast-paced SaaS environment.

You will define requirements for data structures, pipelines, and data services to enable scalable analytics, and partner with Engineering, Data Science, Analytics, and Product teams to translate business needs into robust data product requirements.

Qualifications

• 5-8+ years in Product Management with data platform focus.
• Strong understanding of data architecture, modeling, and pipelines.
• Experience delivering data products for BI, analytics, or AI/ML.

Responsibilities

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

Skills

Product management

Data platforms

Data architecture

Data modeling

ETL/ELT pipelines

Cloud data infra

APIs

Stakeholder management

Agile execution

Roadmap prioritization

Tools

GCP

Data warehouses

Lakehouses

APIs

Job description

CLEAR DEMAND 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 in a fast-paced SaaS environment.

You will define requirements for data structures, pipelines, and data services to enable scalable analytics, and partner with Engineering, Data Science, Analytics, and Product teams to translate business needs into robust data product requirements.