About The Position

phData is a remote-first data and AI consultancy with employees across the United States, Latin America, and India. The company partners with industry leaders to address complex data and AI challenges for large enterprises. The Sr. Product Manager drives the success of data and AI solutions that connect client business goals to modern data platforms and products. The role shapes and delivers solutions, translates business goals into product requirements and backlogs, leads agile execution, and uses metrics and stakeholder feedback to guide quality, adoption, and ongoing improvement. The position also leads product workstreams within broader client engagements and coordinates day-to-day work with stakeholders. Travel of up to 50% per month may be required when clients need it. phData is committed to diversity, inclusion, and equal employment opportunity, and prohibits discrimination and harassment based on protected characteristics.

Requirements

  • Experience in product management for data, analytics, or AI platforms or products in consulting, SaaS, or enterprise environments.
  • Hands-on exposure to modern cloud data platforms such as Snowflake, Databricks, AWS, Azure, or GCP, and strong data and AI literacy.
  • Proven ability to lead cross-functional teams in an agile environment and communicate clearly with client stakeholders.
  • Familiarity with data and AI architecture and governance, and experience in change-heavy transformations.
  • Proficiency with product or project management tools and openness to AI-enabled execution tooling.
  • Significant experience owning end-to-end product outcomes for data, analytics, or AI products.
  • Prior external consulting experience.
  • Recognized as a go-to subject matter expert and comfortable with executive-facing communication.
  • Willingness to travel up to 50% per month (10 of 20 business days) when required by clients.

Responsibilities

  • Shape and deliver data and AI platforms and products that solve business problems, working with architects, engineers, analysts, and change leaders.
  • Translate business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams.
  • Define and track business, customer, product, and delivery KPIs and success metrics; use data to prioritize and iterate.
  • Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration.
  • Communicate with business and technical stakeholders, surface risks early, and drive alignment on decisions.
  • Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.
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