phDataHiring

Senior Product Manager, AI and Data

  • Remote, United States
  • Lead
  • Posted 3 days ago
In one line

Senior product role at a data and AI consultancy, shaping platforms that tie client business goals to modern data systems; remote across the US, Latin America and India.

About the role

Product work sits inside client engagements, so the role leads core workstreams and coordinates the people around them. Success means requirements turn into shipped platforms that clients actually adopt.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Snowflake, Databricks, AWS, Azure, GCP, Agile
Posted
26 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Shape data and AI platforms and products with architects, engineers, analysts and change leads
  • Convert business goals into requirements, user stories and backlogs, then run agile planning
  • Set and track KPIs across business, customer, product and delivery, and use the data to prioritize
  • Lead core product workstreams within engagements and manage day-to-day coordination
  • Keep business and technical stakeholders aligned and raise risks early

What they look for

  • Product management experience on data, analytics or AI platforms in consulting, SaaS or enterprise
  • Hands-on work with cloud data platforms such as Snowflake, Databricks or AWS, Azure and GCP
  • Record of leading cross-functional teams in agile settings and communicating with client stakeholders
  • Familiarity with data and AI architecture and governance, plus change-heavy transformations
  • Comfort with product and project tools, AI-enabled execution tooling, and travel up to 50% of the month

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Connector URL
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Questions about this job

Is this a remote job, and where can I work from?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: product management experience on data, analytics or AI platforms in consulting, SaaS or enterprise; hands-on work with cloud data platforms such as Snowflake, Databricks or AWS, Azure and GCP; record of leading cross-functional teams in agile settings and communicating with client stakeholders. Skills it names include Snowflake, Databricks, AWS, Azure.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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