Data Platform PM for AI & Analytics Infrastructure

Referment

New York (NY)

On-site

USD 120,000 - 180,000

Full time

2 hours ago
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Job summary

Referment is seeking a Product Manager to own the data infrastructure powering its people analytics. You will bridge human-capital, analytics and engineering teams to shape secure data products that support reporting, BI and emerging generative-AI use cases.

This technical product role emphasizes depth across schemas, ETL, APIs and delivery. You will translate stakeholder needs into precise requirements, drive delivery, testing, rollout, and ongoing operational support.

Qualifications

  • Four to eight years of product-management experience, especially in data/analytics products.
  • Strong Excel, SQL and Python skills; experience with data engineers, data scientists and software developers.
  • Working knowledge of ETL, BI infrastructure, APIs and data modelling.

Responsibilities

  • Design ETL transformations and data models that turn business needs into reliable, scalable datasets.
  • Shape an API layer that centralises business logic, permissions and consistent contracts for downstream consumers.
  • Develop product direction for natural-language querying, semantic search and agentic workflows over structured and unstructured data.
  • Partner with reporting specialists, developers and data scientists to define technical solutions and detailed requirements.
  • Manage the backlog, sprint planning, stakeholder relationships and rollout of changes across the data platform.

Skills

Excel
SQL
Python

Job description

Referment is seeking a Product Manager to own the data infrastructure powering its people analytics. You will bridge human-capital, analytics and engineering teams to shape secure data products that support reporting, BI and emerging generative-AI use cases.

This technical product role emphasizes depth across schemas, ETL, APIs and delivery. You will translate stakeholder needs into precise requirements, drive delivery, testing, rollout, and ongoing operational support.

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