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Manager Remote Metadata Jobs (NOW HIRING)

campus4tech

Data Governance Consultant

Title: Data Governance Consultant Duration: 6 Month Contract to Hire Job Mode: 100% Remote Note ... Define and maintain metadata models, domains, communities, and business rules. * Facilitate ...

iShare Inc

Data Steward

Manhattan, NY · Remote

$115K/yr

... Metadata • Data Governance • CDE Management • Root Cause Analysis • Reporting & Analytics • Collibra (or similar tools) • Insurance Data Domains (P&C) --- This is a remote position.

Purple Drive

Oracle FCCS Developer

Stamford, CT · Remote

Remote Please find the JD and please publish with your candidate resumes for the Role Oracle FCCS ... Perform metadata management using EDM and Data Management/Data Integration. * Develop and maintain ...

Corporate Tools

YouTube Channel Manager

Post Falls, ID · On-site +1

$90K/yr

Remote is OK; our hubs are Spokane, WA; Austin, TX; and Salt Lake City, UT. (Must be authorized to ... Script, coordinate production, post-production, upload, optimize metadata & thumbnails. * Use data ...

Right Skale, Inc.

Snowflake DMF Consultant

Snowflake DMF Consultant (Data observability) - Contract - Remote (US) We are seeking a hands-on ... Build and manage observability checks for data freshness, volume, validity, schema changes, and ...

Maximus

PMO Project Librarian

VA · On-site +1

General information Job Posting Title PMO Project Librarian Date Monday, June 22, 2026 City Remote ... metadata, document sets, and views to support governance and audit requirements - Ensure ...

OneStream

Senior Remote Consultant

Remote, USA Employment Type: Full-Time Benefits Offered: Vision, Medical, Life, Dental, 401K Gross ... metadata management), and Reconciliation Manager (ARM) with Transaction Matching as part of ...

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Manager Remote Metadata information

See salary details

$44K

$106.8K

$173K

How much do manager remote metadata jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager remote metadata in the United States is $106,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Remote Metadata vs Data Analyst?

AspectManager Remote MetadataData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; experience with metadata management toolsBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentRemote, collaborative teams managing data assets and metadata systemsRemote or on-site, analyzing data sets to generate insights
Employer & Industry UsageTech companies, data-driven organizations, content management firmsFinance, marketing, healthcare, and other sectors requiring data analysis

The main difference is that a Manager Remote Metadata oversees metadata systems and data governance remotely, focusing on data cataloging and management. In contrast, a Data Analyst primarily analyzes data sets to support decision-making. Both roles often require similar educational backgrounds but differ in responsibilities and focus areas.

More about Manager Remote Metadata jobs
What cities are hiring for Manager Remote Metadata jobs? Cities with the most Manager Remote Metadata job openings:
What are the most commonly searched types of Remote Metadata jobs? The most popular types of Remote Metadata jobs are:
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Manager Remote Metadata jobs near you
Infographic showing various Manager Remote Metadata job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $106,825 per year, or $51.4 per hour.
Staff Product Manager, Model Lifecycle & Management

Staff Product Manager, Model Lifecycle & Management

Pinterest

San Francisco, CA • On-site, Remote

Other

Re-posted 22 days ago

Job description

As a Senior Product Manager for Signal Lifecycle within Trust & Safety, you'll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. You'll lead the development of ML Signal Management - making ML signals first-class entities with unified metadata and identity across systems. Partnering deeply with ML engineering, data science, content safety, and enforcement systems, you'll drive a platform whose scope is expanding from T&S into content quality, ads safety, and beyond.

What you'll do:

  • Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement
  • Define and ship ML Signal Management - a unified backbone that elevates ML signals into first-class entities with comprehensive metadata, cross-system naming, and API access
  • Partner with ML Engineering to reduce model iteration time through automated retraining, evaluation, and deployment pipelines
  • Own measurement infrastructure - golden dataset strategy, prevalence measurement, model performance dashboards, and experimentation frameworks
  • Lead cross-functional signal strategy with Content Safety, Enforcement Systems, Data Science, and Operations

What we're looking for:

  • 5+ years product management experience
  • Experience owning or managing ML platforms, model lifecycle infrastructure, or ML tooling
  • Strong data fluency - comfortable with precision/recall/FPR, evaluation methodology, and model performance measurement
  • SQL proficiency - able to self-serve data investigation and analysis
  • Demonstrated systems thinking - experience with complex interconnected infrastructure serving multiple teams
  • Strong cross-functional leadership - proven ability to drive decisions across ML engineering, data science, and product stakeholders
  • Excellent written and verbal communication of complex ML and infrastructure concepts
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
 
 
In-Office Requirement Statement:
  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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