Data Product Manager — AI, Data Platform & Analytics

Themesoft Inc

Wilmington (DE)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Job summary

Themesoft Inc is seeking a Data Product Manager/Data Product Analyst to own data as a product across its lifecycle—from source systems through Databricks and Snowflake, into AI/ML pipelines, and into production. You will bridge business, data engineering, and AI teams to ensure data products are well‑defined, governed, high quality, and fit for analytics.

Responsibilities include discovering data opportunities, defining product vision, managing the backlog, and collaborating with ERP/operational

Qualifications

  • Experience in data product analyst, product analyst, or product‑centric data roles.
  • Strong understanding of the product development lifecycle.
  • Proven ability to translate business needs into epics, features, and user stories.
  • Experience working in Agile / Scrum environments.

Responsibilities

  • Partner with Product Managers to identify and define data product opportunities aligned to customer and business needs.
  • Conduct user discovery, stakeholder interviews, and journey mapping to identify data gaps and opportunities.
  • Define product vision, scope, and success metrics for assigned data products.
  • Translate business needs into product requirements, epics, features, and user stories with clear acceptance criteria.
  • Own and manage a prioritized data product backlog and support sprint planning, reviews, and UAT in Agile/Scrum teams.
  • Collaborate with Data Engineering to onboard new data sources and validate AI inputs/outputs.
  • Ensure data products meet analytics, reporting, and automation requirements.

Skills

Data product roles
Product development lifecycle
Epics & user stories
Agile / Scrum

Tools

Databricks
Snowflake
SQL

Job description

Themesoft Inc is seeking a Data Product Manager/Data Product Analyst to own data as a product across its lifecycle—from source systems through Databricks and Snowflake, into AI/ML pipelines, and into production. You will bridge business, data engineering, and AI teams to ensure data products are well‑defined, governed, high quality, and fit for analytics.

Responsibilities include discovering data opportunities, defining product vision, managing the backlog, and collaborating with ERP/operational

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