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Metadata Product Manager Jobs (NOW HIRING)

Infojini

Data Product Manager

Saint Paul, MN · On-site

... metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and ... products are reliable, governed, and scalable. Interested Parties Management: • Serve as the ...

COOLSOFT

Data Product Manager

Saint Paul, MN · On-site

... metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and ... products are reliable, governed, and scalable. · Interested Parties Management: o Serve as the ...

MarineMax

Product Manager

Fort Lauderdale, FL · On-site

The Product Manager ensures the platform evolves to support operational efficiency, technical ... Ensure consistent naming conventions, tagging, and metadata standards. * Apply best practices for ...

Syscom, Inc.

Product Manager - Data

Saint Paul, MN · On-site +1

Translate business logic into data transformations, metadata, and domain specific rules. Skilled in ... Ensures data products are reliable, governed, and scalable. Interested Parties Management: * Serve ...

SYSCOM, Inc.

Product Manager - Data

Saint Paul, MN · On-site

Translate business logic into data transformations, metadata, and domain specific rules. Skilled in ... Ensures data products are reliable, governed, and scalable. Interested Parties Management: * Serve ...

SYSCOM, Inc.

Product Manager - Data

Saint Paul, MN · On-site +1

Translate business logic into data transformations, metadata, and domain specific rules. Skilled in ... Ensures data products are reliable, governed, and scalable. Interested Parties Management: * Serve ...

Deluxe Media, Inc.

Product Manager

Burbank, CA · On-site

... metadata, asset management, and distribution workflows. • Analyze existing processes and datasets to uncover automation opportunities, predictive insights, and agentic AI applications that deliver ...

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Metadata Product Manager information

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How much do metadata product manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for metadata product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Metadata Product Manager jobs?

For Metadata Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Metadata Product Manager job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Data Product Manager

Saint Paul, MN • On-site

RICEFW Technologies, Inc.
IT Services • 51 - 200 employees
Learn more about RICEFW Technologies, Inc.external

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Product Manager
Location: Saint Paul, MN (Hybrid)
Duration: 12 Months
The work is expected to be done remotely or hybrid at DCYF's offices at 444 Lafayette Rd N, St. Paul MN, 55155. The resource must be located within the borders of the United States and be available for work during regular business hours of 7:00 a.m. - 6:00 p.m. Central Time, Monday through Friday.
Description of Project
The Minnesota Department of Information Technology Services ("MNIT") partnering with the Department of Children, Youth, and Families ("DCYF") (collectively "State") is seeking one full-time Data Product Manager who will be responsible for supporting significant system changes to turn the organization's data into scalable, high value products-such as curated datasets, analytics platforms, and data infrastructure-supporting the Whole Family approach. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems.
At a high level, the resource will lead the strategy, roadmap, and execution of data efforts within the Department of Children, Youth, and Families (DCYF), enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle. Product Managers at DCYF guide products through the full lifecycle-from ideation and design to development, deployment, monitoring, and deprecation.
Sample Tasks
  • Product Strategy & Vision:
    • Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
    • Identify high value opportunities by investigating the data landscape, pain points, and business needs.
    • Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
    • Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
    • Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.
  • Data Product Development:
    • Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
    • Partner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met.
    • Translate business logic into data transformations, metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and pipelines.
    • Ensures data products are reliable, governed, and scalable.
  • Interested Parties Management:
    • Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF.
    • Communicate product value, roadmap, and use cases to leadership and cross-functional teams.
    • Prioritize incoming requests and balance competing needs across teams.
  • Analytics, Insights & Measurement:
    • Define success metrics and measure product performance and adoption.
    • Ensure data products deliver actionable insights and support decision making.
    • Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.
  • Governance, Compliance & Ethical Data Use:
    • Uphold data governance, privacy, and ethical AI standards.
    • Ensure compliance with regulatory and organizational data policies.
    • Advocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF.
  • Provide knowledge transfer

Desired Qualifications
  • Desired 4-7 years of experience in Data management, data analytics, data engineering, or related fields.
  • Demonstrated Product leadership skills and ability to work in ambiguity.
  • Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
  • Proficiency collaborating with data Architecture, data engineering and data science teams.
  • Ability to translate complex technical concepts into business-friendly language.
  • Strong communication, prioritization, and stakeholder management skills.
  • Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
  • Understanding of large organizational data sharing constraints and data sharing agreements.
  • Experience with SQL, data lakes, data and data pipelines / ETL.
  • Significant experience with Databricks.
  • Familiarity with Java and Python.
  • Background in building internal platforms or developer facing products.
  • Experience in implementing modern data architectures at an organization.
  • Experience in a highly regulated industry performing statistical analysis and reporting.

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