Contract Data Product Manager — Modernize Data Platforms

Intone Inc

Minnesota

On-site

USD 112,000 - 156,000

Full time

14 days+

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Job summary

Intone Inc is seeking a Data Product Manager for a six-month contract based in St Paul, Minnesota. You will lead the strategy, roadmap, and execution of data product initiatives aimed at transforming legacy systems into scalable, high-value assets.

You will partner with data engineering, data science, analytics, and business teams to mature data practices and enable better decision-making. This role requires hands-on leadership across end-to-end product lifecycle, strong governance, and

Qualifications

  • Experience leading data product initiatives across data platforms, analytics tools, and ML infrastructure.
  • Ability to translate business needs into data-driven product requirements and roadmaps.
  • Proven success delivering measurable outcomes through data capabilities and governance.
  • Strong communication and stakeholder management to align across teams.

Responsibilities

  • Define vision and roadmap for data products, including platforms and analytics tools.
  • Partner with data engineers/scientists to build scalable pipelines and services.
  • Lead end-to-end lifecycle: requirements, design, development, testing, launch, iterations.
  • Translate business logic into data transformations, metadata, and rules.
  • Design dashboards, KPIs, and reporting frameworks with analytics teams.
  • Define success metrics and monitor product adoption and impact.
  • Uphold data governance, privacy, and ethical AI standards.

Skills

Data management
Data analytics
Data engineering
Product leadership
SQL
Data lakes
ETL
Stakeholder management
Communication

Tools

dbt
Looker
Tableau
Power BI
Google Analytics
Databricks
Python
Java

Job description

Intone Inc is seeking a Data Product Manager for a six-month contract based in St Paul, Minnesota. You will lead the strategy, roadmap, and execution of data product initiatives aimed at transforming legacy systems into scalable, high-value assets.

You will partner with data engineering, data science, analytics, and business teams to mature data practices and enable better decision-making. This role requires hands-on leadership across end-to-end product lifecycle, strong governance, and

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