phdata
Senior Product Manager, AI & Data
At a Glance
- Location
- United States
- Work Regime
- remote
- Posted
- 2026-07-21T11:58:00-04:00
Key Requirements
Required Skills
Domain Knowledge
- SaaS
Requirements
Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS, or enterprise).
Hands-on exposure to modern cloud data platforms (e.g., Snowflake, Databricks, AWS/Azure/GCP) and strong data & AI literacy.
Proven ability to lead cross-functional teams in an agile environment and communicate clearly with client stakeholders.
Familiarity with data/AI architecture and governance, and experience in change-heavy transformations.
Proficiency with product/project management tools and openness to AI-enabled execution tooling; willingness to travel as required.
Significant experience owning end-to-end product outcomes for data/analytics/AI products.
Responsibilities
Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders.
Turn business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams.
Define and track KPIs and success metrics across business, customer, product, and delivery; use data to drive prioritization and iteration.
Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration.
Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.