Senior Data Platform & Analytics Product Lead

ClearDemand; Phoenix (AZ); On-site; USD 135,000 - 160,000; Full time

Job summary

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

You will translate complex business and analytical requirements into scalable data products in a fast-paced SaaS environment, collaborating with Engineering, Data Science, Analytics, and Product teams to deliver reliable data products that drive business value.

Qualifications

• 5–8+ years of Product Management experience in data platforms or enterprise data products.
• Strong understanding of data architecture, data modeling, ETL/ELT, and cloud data infrastructure.
• Experience defining data products that support BI, analytics, and AI/ML applications.
• Familiarity with cloud platforms such as GCP and modern data technologies.
• Ability to collaborate with Data Engineering and Architecture teams, with strong stakeholder management and agile execution.

Responsibilities

• Own the product strategy, roadmap, and delivery of foundational data platform capabilities for Analytics, Reporting, and AI/ML solutions.
• Define requirements for backend data structures, data models, pipelines, and data services for scalable analytics.
• Partner with Engineering, Data Science, Analytics, and Product teams to translate needs into data product requirements.
• Drive data standardization, quality, governance, accessibility, and reusability across product lines.
• Define success metrics for data reliability, performance, cost efficiency, and business value.

Skills

Product management

Data platforms

Analytics

APIs

Cloud platforms (GCP)

Agile execution

Stakeholder management

Data modeling

Data architecture

Tools

ETL/ELT pipelines

Data warehouses

Lakehouses

APIs

Job description

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

You will translate complex business and analytical requirements into scalable data products in a fast-paced SaaS environment, collaborating with Engineering, Data Science, Analytics, and Product teams to deliver reliable data products that drive business value.