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Metadata Manager Jobs in Boston, MA (NOW HIRING)

Data Architect

Weston, MA · Hybrid

$68.75 - $88.50/hr

Experience or exposure to Informatica Metadata Manager, SAP Business Objects & Crystal, Tableau, Hadoop, and CA ErWin. * Proven background designing and architecting ETL solutions as part of a cross ...

Data Architect

Weston, MA · On-site

$68.75 - $88.50/hr

Experience or exposure to Informatica Metadata Manager, SAP Business Objects & Crystal, Tableau, Hadoop, and CA ErWin. * Proven background designing and architecting ETL solutions as part of a cross ...

Data Architect (United States)

Boston, MA · Hybrid

$69.25 - $89/hr

Implement scalable metadata management processes to improve data quality, lineage, and discoverability * Lead adoption of AI tools to automate metadata extraction and improve knowledge management

Data Architect (United States)

Boston, MA · On-site

$69.25 - $89/hr

Implement scalable metadata management processes to improve data quality, lineage, and discoverability * Lead adoption of AI tools to automate metadata extraction and improve knowledge management

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 · 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 ...

Data Governance Analyst

Woburn, MA · 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 · 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 ...

Description The Content Architect Manager defines how content is structured across Citizens as a ... Define and evolve the enterprise content model: types, fields, relationships, and metadata

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Metadata Manager information

See Boston, MA salary details

$29.9K

$88.7K

$149.4K

How much do metadata manager jobs pay per year?

As of Jul 18, 2026, the average yearly pay for metadata manager in Boston, MA is $88,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $126,600.00 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.

What is the best metadata manager?

A good metadata manager for a Metadata Manager role typically includes tools like Apache Atlas, Collibra, or Informatica, which help organize, govern, and maintain metadata across data systems. Proficiency in data governance, understanding of metadata standards, and experience with these platforms are essential for effective management.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior media managers, media directors, or executive positions often earn $150,000 or more annually. These roles typically require extensive experience, strong leadership skills, and proficiency with industry tools like media planning software and data analysis. Compensation varies based on company size, location, and individual expertise.

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 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, set standards for metadata quality, and collaborate with IT and data teams to improve data accessibility and consistency.

What jobs in the US pay 300,000 a year?

For a Metadata Manager, high salaries of $300,000 or more are uncommon and typically found in executive or senior-level roles within large organizations. Such compensation may be achieved through senior management positions, specialized expertise, or in industries like technology or finance, often requiring advanced skills, certifications, and extensive experience. Most roles in metadata management tend to have lower salary ranges, but top executives or consultants can reach or exceed this level.

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 are the most commonly searched types of Metadata jobs in Boston, MA? The most popular types of Metadata jobs in Boston, MA are:
What are popular job titles related to Metadata Manager jobs in Boston, MA? For Metadata Manager jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Boston, MA look for? The top searched job categories for Metadata Manager jobs in Boston, MA are:
What cities near Boston, MA are hiring for Metadata Manager jobs? Cities near Boston, MA with the most Metadata Manager job openings:
Infographic showing various Metadata Manager job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, 14% Hybrid, and 26% Remote job distribution, with an average salary of $88,729 per year, or $42.7 per hour.

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

MAPFRE

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


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.