phdata

Senior Product Manager, AI & Data

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At a Glance

Location
United States
Work Regime
remote
Posted
2026-07-21T11:58:00-04:00

Key Requirements

Required Skills

AWSAgileAzureDatabricksGCPSnowflake

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.