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Metadata Manager Jobs in Deerfield, IL (NOW HIRING)

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... metadata management, and performance optimization. • Strong understanding of DevOps and infrastructure-as-code (IaC), including Git, Terraform, CI/CD pipelines, and automated testing. • Working ...

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring, governance, explainability, bias detection; Databricks; healthcare ...

Project Manager

Chicago, IL · On-site +1

$45 - $48/hr

Overseeing the overhaul of hundreds of web pages, adding FAQs, updating content descriptions, and refreshing metadata. * Managing video editing production workflows for testimonial and explainer ...

Data Governance & QualityEnsure data quality| lineage| metadata management| and governance standards.Partner with Data Governance teams and tools such as Collibra.Implement security| compliance| and ...

This role is responsible for global asset governance, metadata architecture, platform configuration ... Asset Management * Expertlyperform day-to-day management of digital assets,including custom ...

... metadata management. • Strong Excel skills for data manipulation, validation, and analysis. • Strong communication and stakeholder management skills; able to translate between technical and ...

Showing results 41-60

Metadata Manager information

See Deerfield, IL salary details

$28K

$83.1K

$139.8K

How much do metadata manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for metadata manager in Deerfield, IL is $83,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $118,500.00 per year, depending on experience, location, and employer.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

What are the key skills and qualifications needed to thrive as a metadata manager, and why are they important?

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.
What cities near Deerfield, IL are hiring for Metadata Manager jobs? Cities near Deerfield, IL with the most Metadata Manager job openings:

Lead/Director, Platform Product Management - Data Platform & Operations (Chicago)

Vizient, Inc

Chicago, IL • On-site

$240K - $251K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

## Lead/Director, Platform Product Management - Data Platform & OperationsApplylocations: Chicago, IL 60607: Irving, TX 75062 Vizient Corporate HQ: Edina, MN 55435time type: Full timeposted on: Posted 8 Days Agojob requisition id: 34214RWhen you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.Summary:In this role, you will lead the strategy, prioritization, and evolution of one or more major internally facing platform domains. You will own the internal data platform capabilities that make data reliable, reusable, and accessible across Vizient Intelligence products, including data ingestion, cross-cutting data services, the Enterprise Data Layer (EDL), data quality, and source onboarding. You will align platform investments with enterprise priorities, engineering capacity, AI Delivery strategy, architecture direction, and AI-first product delivery practices while partnering across cross-functional teams to improve internal developer productivity, accelerate product delivery, and enable scalable, secure, and reusable platform capabilities.Responsibilities:* Lead strategy, prioritization, and roadmap alignment across multiple internal platform capability areas.* Own the strategy, roadmap, and evolution of internal data platform capabilities, including data ingestion, cross-cutting data services, the Enterprise Data Layer (EDL), data quality, metadata management, governance capabilities, and source onboarding.* Partner with Vizient Intelligence engineering, AI Delivery, architecture, security, and product leadership to define platform investment priorities.* Establish decision frameworks that sequence platform capabilities, address technical debt, improve platform reuse, enhance internal developer productivity, and support AI-assisted and agentic development workflows.* Align platform roadmaps with measurable outcomes, including reduced delivery friction, increased platform adoption, stronger governance, faster product delivery, and improved AI-first delivery maturity.* Drive platform capabilities that improve the reliability, accessibility, and reuse of enterprise data across Vizient Intelligence products.* Collaborate closely with data engineering teams to define platform capabilities that support scalable, high-quality, and governed data solutions.* Facilitate executive stakeholder alignment on platform direction, funding, dependencies, tradeoffs, adoption expectations, and AI-first operating model changes.* Represent platform product priorities in leadership forums by translating technical platform strategies into business-relevant decisions and resolving complex cross-functional priorities.* Guide and develop a small team of platform product professionals through coaching, mentorship, and professional development.* Establish lightweight platform product management standards, including discovery practices, roadmap narratives, success measures, prompt and context patterns, release planning, adoption planning, and responsible AI tool usage.* Build strong partnerships across engineering, AI Delivery, architecture, security, design, and internal product teams to enable consistent platform adoption and delivery outcomes.Qualifications:* Relevant degree preferred.* 7 or more years of relevant experience required.* Experience in product management, technical product management, enterprise platform products, data and analytics platforms, AI/ML products, developer platforms, AI-enabled software delivery, or enterprise technology initiatives.* Demonstrated experience managing enterprise data platform capabilities, including data ingestion, Enterprise Data Layer (EDL), cross-cutting data services, data quality, metadata management, source onboarding, and data governance.* Experience partnering with data engineering, architecture, AI Delivery, and engineering teams to define and deliver scalable platform capabilities.* Proven success leading complex cross-functional platform initiatives, developing platform roadmaps, and influencing senior stakeholders to align investment priorities and technical decisions.* Strong technical fluency across architecture, data, AI, integration, identity and access management, governance, internal developer workflows, and agentic or AI-assisted development practices.* Knowledge of healthcare data ecosystems and enterprise data management principles preferred.* Demonstrated ability to coach product teams in modern product management practices while leveraging AI tools effectively without creating unnecessary process overhead.* Ability to influence enterprise investment priorities, technical tradeoffs, internal adoption strategies, and AI-first operating model decisions.* Strong technical stakeholder management, communication, strategic thinking, and leadership skills with the ability to build scalable product management practices while maintaining a lean operating model.* Experience developing high-performing teams and fostering collaboration across engineering, AI Delivery, architecture, security, design, and internal product organizations.Estimated Hiring Range:At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.This position is also incentive eligible.Vizient has a comprehensive benefits plan! Please view our benefits here:http://www.vizientinc.com/about-us/careersEqual Opportunity Employer: Females/Minorities/Veterans/Individuals with DisabilitiesThe Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
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