Data Platform PM for Analytics & AI Workflows

Referment; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Referment is collaborating with a global investment and technology firm to build the data infrastructure behind its people analytics. The role focuses on shaping secure data products that power reporting, BI and emergent generative-AI use cases.

This technical product position spans schemas, ETL, APIs and delivery, requiring translating stakeholder needs into precise requirements and owning the end-to-end lifecycle from development to rollout and support.

Qualifications

• 4–8 years of product-management experience in data/analytics products.
• Strong Excel, SQL and Python skills, with collaboration with data engineers, data scientists and software developers.
• Working knowledge of ETL, BI infrastructure, APIs and data modelling.
• Ability to explain technical concepts clearly, own delivery and handle confidential information.
• Generative-AI infrastructure experience (vector databases, RAG or semantic search) is useful but not essential.

Responsibilities

• Design ETL transformations and data models that turn business needs into reliable datasets.
• Shape an API layer centralising business logic, permissions and contracts for downstream consumers.
• Develop product direction for natural-language querying, semantic search and agentic workflows over 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 across the data platform.

Skills

Data product mgmt

Excel

SQL

Python

ETL

BI infrastructure

APIs

Data modelling

Communication

Generative AI infra

Tools

Vector databases

Job description

Referment is collaborating with a global investment and technology firm to build the data infrastructure behind its people analytics. The role focuses on shaping secure data products that power reporting, BI and emergent generative-AI use cases.

This technical product position spans schemas, ETL, APIs and delivery, requiring translating stakeholder needs into precise requirements and owning the end-to-end lifecycle from development to rollout and support.