Senior Product Manager - Data Platform & Analytics

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

Role Overview

ClearDemand is seeking an experienced, technically strong Data Product Manager to own the data platform, backend data architecture, and foundational data capabilities powering our Analytics and Intelligence solutions. This role requires a strong combination of product management expertise, data platform knowledge, and the ability to translate complex business and analytical requirements into scalable, reliable data products in a fast-paced SaaS environment.

Key Responsibilities

• Own the product strategy, roadmap, and delivery of foundational data platform capabilities supporting Analytics, Reporting, and AI/ML solutions.


• Define requirements for backend data structures, data models, pipelines, and data services to enable scalable, consistent, and performant analytics.


• Partner closely with Engineering, Data Science, Analytics, and Product teams to translate business needs into well-defined data product requirements.


• Drive data standardization, quality, 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, managing priorities and technical dependencies.

Required Experience & Skills

• 5-8+ years of Product Management experience, with significant exposure to data platforms, analytics, or enterprise data products.


• Strong technical understanding of data architecture, data modeling, ETL/ELT pipelines, data warehouses, lakehouses, APIs, and cloud data infrastructure.


• Experience defining data products that support business intelligence, advanced analytics, and AI/ML applications.


• Familiarity with cloud platforms such as GCP and modern data technologies.


• Ability to collaborate effectively with Data Engineering and Architecture teams, understanding technical trade-offs without necessarily being a hands-on engineer.


• Strong product discovery, requirements definition, roadmap prioritization, stakeholder management, and agile execution skills.


• Retail, pricing, promotions, or merchandising data domain experience is highly desirable.


• Ability to thrive in fast-paced, ambiguous environments, demonstrating ownership, adaptability, strong problem-solving skills, and a bias for action.

Ideal Candidate

A technically fluent, outcome-driven Product Manager who understands how to turn complex backend data infrastructure into scalable, reusable data products. Someone who can bridge business, analytics, and engineering needs, establish strong data foundations, and accelerate the delivery of customer-facing analytics and intelligence capabilities.