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Metadata Manager Jobs in Florida (NOW HIRING)

Support metadata management and data governance initiatives using tools such as EDC, Axon, and CDGC . * Perform performance tuning for Snowflake and Informatica IICS environments. * Mentor and coach ...

Data Architect

Tampa, FL · On-site

$167K - $185K/yr

Drive data governance standards including metadata management, data lineage, master data management (MDM), and schema management. * Enhance data quality through defined metrics, controls, validation ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Metadata Management: Implement and maintain metadata repositories, enabling effective data lineage, data impact analysis, and data cataloging to support data governance and data lineage requirements.

Experience with metadata management, data cataloging, data quality tools, and lineage tools (e.g., Microsoft Purview, Collibra, Alation). * Excellent communication and stakeholder management skills.

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Metadata Manager information

See Florida salary details

$20.6K

$61K

$102.8K

How much do metadata manager jobs pay per year?

As of May 29, 2026, the average yearly pay for metadata manager in Florida is $61,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $87,100.00 per year, depending on experience, location, and employer.

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.

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 Metadata Managers?

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 does a metadata manager do?

A metadata manager is responsible for organizing, maintaining, and ensuring the accuracy of metadata, which is data that describes other data within an organization. They often work with data management tools, develop metadata standards, and collaborate with IT and data teams to improve data accessibility and quality.

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.

What are the most commonly searched types of Metadata jobs in Florida? The most popular types of Metadata jobs in Florida are:
What are popular job titles related to Metadata Manager jobs in Florida? For Metadata Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Florida look for? The top searched job categories for Metadata Manager jobs in Florida are:
What cities in Florida are hiring for Metadata Manager jobs? Cities in Florida with the most Metadata Manager job openings:
Infographic showing various Metadata Manager job openings in Florida as of May 2026, with employment types broken down into 60% Full Time, 9% Part Time, 9% Temporary, 19% Contract, and 3% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $61,036 per year, or $29.3 per hour.
AI and Data Governance Engineer

AI and Data Governance Engineer

Holland & Knight

Tampa, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Holland & Knight rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 17 rated law firms


Job description

We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success.

This position may be based at the Firm's Global Operations Center in Tampa, Florida, or at one of the Firm's offices in D.C, Dallas, or Atlanta.

General Description:

We are seeking an AI and Data Governance Engineer to join our team. The AI and Data Governance (AIDG) Engineer is responsible for implementing, configuring, and maintaining the technology stack that powers the AI and data governance program. This includes the data catalog (Atlan), data quality & observability platform (Monte Carlo), and tools and initiatives such as master data management and AI governance solutions. This role works closely within the AIDG Team, as well as the broader Data Strategy and Knowledge & Innovation teams, to ensure that data is discoverable, trustworthy, and governed throughout its lifecycle.

Key Responsibilities and Essential Job Functions:
Platform Ownership & Administration

  • Serve as primary administrator for:
    • Data catalog (Atlan): users, roles, workspaces, integrations, policies
    • Data quality / observability tool (Monte Carlo): monitors, alerts, integrations
    • Tools and initiatives like MDM and AI governance / model registry platforms
  • Manage configuration, upgrades, and maintenance in partnership with vendors.
  • Monitor system health, performance, and usage. Drive improvements and automation where possible.
  • Coordinate closely with IT on system administration.

Integration & Automation

  • Integrate governance tools with key data platforms (e.g., data warehouse/lake, BI tools, orchestration platforms, source systems).
  • Develop and maintain pipelines to:
    • Synchronize metadata into the data catalog.
    • Push incident/alert data from observability tools into ticketing/incident systems.
    • Synchronize ownership, classifications, and tags across systems.
  • Automate repetitive tasks (user provisioning, role assignments, metadata sync jobs, etc.) where possible.

Metadata Management & Lineage

  • Implement and maintain technical and business metadata in Atlan.
  • Configure and validate data lineage across pipelines, data stores, and BI layers.
  • Advise on metamodel design for business glossaries, domains, and classifications.
  • Establish best practices for naming conventions, tagging, and documentation within the tools.

Data Quality & Observability

  • Configure and optimize Monte Carlo for:
    • Freshness, volume, and schema checks
    • Custom rule-based and anomaly-based quality monitors
    • Incident routing, severity, and escalation rules
  • Partner with data engineering and AIDG analysts to embed data quality checks into critical pipelines.
  • Track, report, and help reduce data incidents, broken pipelines, and recurring quality issues.

Reference Data and User Enablement

  • Help define how golden records, reference data, and crosswalks are surfaced in the catalog and monitored in the DQ tool.
  • Ensure consistent identifiers, hierarchies, and mappings across systems.
  • Provide hands-on support to users of Atlan, Monte Carlo, and other governance tools.
  • Create and maintain training materials, quick-start guides, and best-practice playbooks.
  • Host training sessions, office hours, and demos to drive adoption and consistent usage.

Model Governance & Compliance Support

  • Evaluate and support adoption and integration of any future AI governance tools (e.g., for model registry, lineage, risk controls, and policy enforcement).
  • Integrate model metadata and lineage into the data catalog.
  • Partner with Data Science / AI teams to ensure governed access, monitoring, and documentation of models and AI assets.
  • Align tool configurations with overall data governance policies (access control, retention, sensitivity classifications, etc.).
  • Help operationalize policies (e.g., PII tagging, restricted domains, masking policies) within tools and data platforms.
  • Expected to maintain a regular and predictable work schedule and full attention to and engagement in work activities on behalf of the firm during business hours unless otherwise approved or required by applicable law.
  • Special projects and duties as assigned.

Required Skills:

  • Hands-on experience with at least one of the following (or similar):
  • Data catalog: Atlan, Collibra, Alation, Informatica, etc.
  • Data quality / observability: Monte Carlo, Soda, Great Expectations, etc.
  • Strong SQL skills and solid understanding of modern data platforms (data warehouses/lakes, e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse, etc.).
  • Experience integrating tools using APIs, SDKs, or event-based approaches.
  • Familiarity with data governance concepts: data ownership, stewardship, lineage, business glossary, classifications, access controls.
  • Strong communication skills and ability to translate technical configurations into clear workflows and documentation.
  • Proficient in Microsoft Office Suite, or Microsoft 365.

Required Qualifications & Education:

  • Bachelor's degree
  • 3+ years of experience in data engineering, data platform administration, or similar technical role.

Preferred Qualifications & Education:

  • Experience administering Atlan and/or Monte Carlo specifically.
  • Experience with:
    • Master data management (MDM) tools and concepts
    • AI / ML governance, model registries
  • Background supporting or participating in a formal data governance program (council, domain stewards, policy rollout, etc.).
  • Familiarity with security and compliance frameworks related to data (e.g., data masking, RBAC/ABAC, least privileged access).
  • Experience working in a regulated or data-sensitive industry (e.g., financial services, legal, healthcare, or public sector).

Physical Requirements:

  • Ability to sit or stand for extended periods of time.
  • Moderate or advanced keyboard usage.

This position may be filled in District of Columbia. The base salary ranges for this position are listed below. These ranges may not be applicable to other locations. An individual's actual compensation will depend on the individual's qualifications and experience. In addition to the base compensation, Holland & Knight provides bonus opportunities and an exceptional benefits package.

  • District of Columbia - $149,000 - $223,000

Benefits: Our goal is to promote a work environment in which individuals have access to the resources they need to be their best both professionally and personally, which includes resources that encourage individuals to focus on their health and well-being.

Below are the benefits we offer: comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners; life and AD&D insurance; short and long term disability insurance; tax-advantaged accounts for health care expenses, including FSAs and HSAs; FSAs for dependent care; health advocacy services; behavioral health and counseling resources for all family members; 401(k); profit sharing; backup dependent care; senior care planning support; resources for individuals with development disabilities and their caregivers; and paid holidays and other paid time off, including paid leave for new parents.

Holland & Knight is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth or related conditions, transgender status, and sexual orientation), national origin, age, disability, genetic information, veteran status or any other factor prohibited by law.

Applicants who are interested in applying for a position and require an accommodation during the process should contact ApplicantAccommodations@hklaw.com.

Personal Information collected from applicants will be used for the purpose of processing the application throughout any recruitment or employment process, as well as inclusion in a personnel file. Categories of data collected may include name, address, phone numbers, email, Social Security Number, and signature. Holland & Knight may collect further information if you consent to a background check. This includes criminal background, employment, and certifications. Please visit Legal Information Portal for Holland & Knight LLP's privacy policies.