About The Position

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. As a Senior Product Manager you’ll drive the success of data and AI solutions that connect client business goals to modern data platforms and products.

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.
  • Prior external consulting experience
  • Recognized as a go-to SME; comfortable with executive-facing communication
  • Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

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.
  • Communicate clearly with business and technical stakeholders, surfacing risks early and driving alignment on decisions.
  • Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.
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