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Metadata Jobs in Massachusetts (NOW HIRING)

Data Architect (United States)

Boston, MA ยท Hybrid

$69.25 - $89/hr

You will define standards for data and metadata, enabling scalable, high-quality data foundations that support research, innovation, and AI-driven insights. Who you'll work with Reporting to the Head ...

Data Architect (United States)

Boston, MA ยท On-site

$69.25 - $89/hr

You will define standards for data and metadata, enabling scalable, high-quality data foundations that support research, innovation, and AI-driven insights. Who you'll work with Reporting to the Head ...

Implement modern data management tools (e.g., MDM platforms, data catalogs, metadata management solutions) * Lead change management efforts to improve data literacy and governance adoption * Mentor ...

Implement modern data management tools (e.g., MDM platforms, data catalogs, metadata management solutions) * Lead change management efforts to improve data literacy and governance adoption * Mentor ...

Data Governance Analyst

Woburn, MA ยท On-site

$75K - $100K/yr

Contribute to metadata management activities, including cataloging key data assets and supporting traceability across source systems and reporting outputs. * Coordinate with reporting, analytics, and ...

Data Governance Analyst

Woburn, MA ยท On-site

$75K - $100K/yr

Contribute to metadata management activities, including cataloging key data assets and supporting traceability across source systems and reporting outputs. * Coordinate with reporting, analytics, and ...

Lead implementation of data governance, data catalog/metadata management and data quality rules aligned with business and compliance needs, in support of Navitus' Enterprise Data Governance Strategy ...

Business Data Architect

Westwood, MA ยท On-site

$71.25 - $91.75/hr

Ensure consistent application of data governance, metadata management, and lineage standards across data domains. * Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift ...

Senior Software Engineer - File System

Boston, MA ยท On-site

$133K - $175K/yr

Improve file system behavior across snapshots, caching, faulting, eviction, metadata handling, and recovery paths. * Build and harden NFS, SMB, and S3 access layers with attention to protocol ...

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Metadata information

See Massachusetts salary details

$9

$17

$31

How much do metadata jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for metadata in Massachusetts is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $19.18 per hour, depending on experience, location, and employer.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What is a metadata specialist?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What are the key skills and qualifications needed to thrive as a metadata specialist?

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What can you do with metadata?

A metadata specialist or professional manages and analyzes metadata to organize, categorize, and improve data retrieval and understanding. They use tools like metadata standards and schemas to ensure data consistency and may work with databases, digital assets, or information systems to enhance data accessibility and quality.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.
What are the most commonly searched types of Metadata jobs in Massachusetts? The most popular types of Metadata jobs in Massachusetts are:
What job categories do people searching Metadata jobs in Massachusetts look for? The top searched job categories for Metadata jobs in Massachusetts are:
Infographic showing various Metadata job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $35,747 per year, or $17.2 per hour.

Solutions Delivery Manager - Semantic Enterprise Data & AI Enablement Lead -Hybrid Boston or Webster

MAPFRE

Boston, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Summary
Mapfre is seeking a Solution Delivery Manager to lead the development and adoption of our enterprise Context Layer, the foundation that helps people and AI systems understand, trust, and effectively use enterprise data.
This highly visible role sits at the intersection of Data Governance, Analytics, Semantic Technologies, and Artificial Intelligence, helping establish the business context that powers trusted decision-making, self-service analytics, data products, AI copilots, and next-generation AI capabilities.
As a key leader, you'll partner across business and technology teams to transform complex business knowledge into scalable enterprise capabilities that improve data discoverability, governance, and AI readiness. You'll help define how business information is represented, governed, and consumed across the organization while influencing Mapfre's enterprise Data & AI strategy.
This is a unique opportunity to build foundational capabilities, drive innovation at scale, and shape the future of how data, knowledge, analytics, and AI work together across the enterprise.
What You'll Do
Enterprise Context Layer & Semantic Strategy
  • Lead the development, implementation, and evolution of Mapfre's enterprise Context Layer, including ontology, taxonomy, business glossary, metadata, lineage, knowledge graphs, and enterprise semantic models.
  • Define and maintain the semantic framework that enables a consistent understanding of business concepts across analytics, reporting, data products, and AI solutions.

Business Knowledge & Semantic Assets
  • Translate business concepts, rules, relationships, metrics, and policies into governed, reusable semantic assets.
  • Enable business users and AI systems to discover, understand, and consume trusted enterprise knowledge.

Metadata, Governance & Data Products
  • Drive metadata management, business glossary, data quality, certification, and data product governance initiatives.
  • Ensure business context, ownership, governance standards, and trusted definitions are embedded within enterprise data products and analytical assets.

AI Enablement & Readiness
  • Help establish Mapfre's AI-ready data foundation by creating trusted business context for copilots, AI assistants, semantic search, and future agentic AI solutions.
  • Support the development of semantic capabilities that improve AI effectiveness, discoverability, and trust.

Cross-Functional Leadership
  • Partner with Data Engineering, Data Architecture, Analytics, Governance, and AI teams to embed semantic definitions, governance standards, lineage, and data quality requirements into enterprise platforms and solutions.
  • Collaborate with business leaders and Data Owners to establish and maintain a common enterprise language and shared understanding of key business concepts.

Delivery & Operational Excellence
  • Lead the resolution of semantic, metadata, and data quality challenges through effective stakeholder alignment and collaboration.
  • Manage delivery roadmaps, priorities, dependencies, and vendor relationships supporting semantic, metadata, governance, and knowledge management initiatives.
  • Drive awareness, adoption, and change management efforts that increase usage of enterprise semantic capabilities across analytics, self-service, data products, and AI solutions.

Innovation
  • Evaluate emerging semantic technologies, metadata management capabilities, and AI enablement approaches to continuously enhance Mapfre's enterprise knowledge ecosystem and Data & AI strategy.

What You'll Bring
Required
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Data Science, Data Management, Analytics, or a related field.
  • 8+ years of experience in Data Governance, Data Management, Data Architecture, Analytics, or related disciplines.
  • Strong communication, facilitation, stakeholder management, and cross-functional leadership skills.
  • Experience with modern data platforms such as Snowflake, Databricks, Azure, or AWS, and a strong understanding of data architecture and analytics ecosystems.
  • Strong understanding of metadata management, business glossaries, data lineage, governance frameworks, semantic modeling, and data discoverability.
  • Proven ability to work with business stakeholders to define business rules, metrics, standards, and reusable business knowledge.
  • Experience partnering with Data Engineering, Data Architecture, Analytics, or AI teams to design and implement enterprise data solutions.
  • Property & Casualty insurance industry knowledge.

Preferred
  • Experience with enterprise semantic layers, semantic technologies, business semantic modeling, or knowledge management platforms.
  • Experience with metadata management tools such as Atlan, Collibra, or Alation.
  • Hands-on experience supporting AI, GenAI, RAG, Copilot, Agentic AI, knowledge management, or AI enablement initiatives.
  • Experience implementing enterprise-scale Data Governance, Data Product, Metadata Management, or Semantic Layer programs.
  • Experience creating reusable business context, semantic models, and knowledge assets that support analytics, self-service data consumption, automation, and AI solutions.

Why Mapfre?
As a global insurance leader with a strong local presence, we offer more than a job- we provide a purpose-driven career where your growth, well-being, and impact truly matter.
Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
Social Responsibility: Contribute to meaningful initiatives through Fundaciรณn Mapfre, supporting communities and sustainability worldwide.
Pay Transparency: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.
Salary Range: $121,000- $182,000
Benefits Highlights:
At Mapfre, we invest in our employees' well-being by offering a comprehensive benefits package, including:
  • Paid Time Off (PTO): A flexible PTO program that combines vacation, personal, volunteer and sick time into one convenient bank of paid time off.
  • 401(k) & Profit Sharing: Eligible employees may participate in Mapfre's 401(k) plan that includes company matching contributions up to certain amounts under the terms of the plan.
  • Medical, Dental and Vision Coverage: Choice of comprehensive medical, dental and vision insurance coverage under group plans offered by the company.
  • Other Benefits Include: STD, LTD, Life Insurance, FSA, HSA and various wellness programs.

Benefits provided are subject to the terms and conditions of the applicable benefit plan or policy. The Company reserves the right to alter, amend, or terminate benefits in its sole discretion. To learn more about our benefit offerings please visit:https://mapfre.gobenefits.net/
If you require a reasonable accommodation during the application or selection process, please contact the Mapfre Talent Acquisition team at talentacquisition@mapfre.com. Mapfre is proud to be an Equal Opportunity Employer.
Important Notice:
The information above is intended to provide a general overview of available benefits. Eligibility, plan provisions, and coverage are governed by the terms and conditions of the applicable benefit plans and policies, which may be modified from time to time.
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