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Metadata Analyst Jobs in Massachusetts (NOW HIRING)

Fresenius Medical Care

Head of Data Governance

Waltham, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... modernization, analytics, and AI initiatives through governance-by-design practices. • Develops and maintains business glossaries, metadata standards, critical data elements, and lineage ...

Recorded Future

Fraud Analyst

Boston, MA · On-site

$78K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience or familiarity with analyzing technical artifacts such as domains, IP addresses, and related metadata * Familiarity with OSINT collection and analysis techniques * Exposure to common CTI ...

Alkermes

Director, R&D Data Governance

Waltham, MA · On-site

... metadata, and access controls-so scientists and analysts can reliably self-serve data while maintaining compliance and integrity. You will partner closely with R&D, IT, and enterprise Data & AI teams ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

Handson experience with enterprise data catalog and metadata systems. * AWS certification (Solutions Architect, Data Analytics Specialty, etc.) Benefits Significant career development opportunities ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · On-site

$71.25 - $91.75/hr

Hands‑on experience with enterprise data catalog and metadata systems. * AWS certification (Solutions Architect, Data Analytics Specialty, etc.) Benefits Significant career development ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · On-site

$71.25 - $91.75/hr

Hands-on experience with enterprise data catalog and metadata systems. * AWS certification (Solutions Architect, Data Analytics Specialty, etc.) Benefits Significant career development opportunities ...

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Metadata Analyst information

See Massachusetts salary details

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$80K

$142K

How much do metadata analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for metadata analyst in Massachusetts is $80,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

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

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and ensuring the accuracy of metadata, which is data that describes other data. They often work with data management tools, perform quality checks, and develop standards to improve data retrieval and usability within organizations.

What are the most commonly searched types of Metadata Analyst jobs in Massachusetts?

The most popular types of Metadata Analyst jobs in Massachusetts are:

What are popular job titles related to Metadata Analyst jobs in Massachusetts?

For Metadata Analyst jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Metadata Analyst jobs in Massachusetts look for?

The top searched job categories for Metadata Analyst jobs in Massachusetts are:

Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 10% Part Time, 1% Temporary, and 7% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $80,010 per year, or $38.5 per hour.

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

MAPFRE

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 hours 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 Fundación 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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