Senior Product Manager - Data Platform & Analytics
Posted Updated
Description
Role- Data Product Manager
Location- Pheonix, Arizona, United States.
We are 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.