Senior Data Platform & Analytics PM

Phx Fwd; Phoenix (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

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

In this role you will define requirements for data structures, pipelines, and services, collaborating with Engineering, Data Science, Analytics, and Product teams to deliver scalable data products in a fast-paced SaaS environment.

Qualifications

• 5–8+ years PM experience in data platforms or analytics.
• Strong knowledge of data architecture and ETL/ELT pipelines.
• Experience with data products for BI/Analytics/AI/ML.
• Familiarity with cloud platforms such as GCP.
• Ability to translate business needs into data product requirements.
• Collaborates with Data Engineering and Architecture teams.

Responsibilities

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

Skills

Data PM

Data architecture

Stakeholder mgmt

Agile

Requirements

Analytical thinking

Tools

GCP

Cloud data infra

Job description

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

In this role you will define requirements for data structures, pipelines, and services, collaborating with Engineering, Data Science, Analytics, and Product teams to deliver scalable data products in a fast-paced SaaS environment.