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Mapfre Jobs in Boston, MA (NOW HIRING)

Mapfre information

See Boston, MA salary details

$27.2K

$70.6K

$132K

How much do mapfre jobs pay per year?

As of Aug 19, 2026, the average yearly pay for mapfre in Boston, MA is $70,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $83,700.00 per year, depending on experience, location, and employer.

What is Mapfre?

Mapfre is a global insurance company headquartered in Spain, offering a wide range of insurance products and services including auto, home, health, and life insurance. The company operates in more than 40 countries and is known for its strong presence in Europe and Latin America. Mapfre provides both personal and commercial insurance solutions and is committed to innovation, customer service, and sustainability. Its mission is to meet the insurance needs of individuals and businesses while promoting social responsibility.

What skills and qualifications are needed to thrive as an insurance claims adjuster at Mapfre?

To thrive as an Insurance Claims Adjuster, you need a strong understanding of insurance policies, analytical skills for assessing claims, and typically a bachelor’s degree or relevant experience. Proficiency with claims management systems, Microsoft Office Suite, and sometimes industry certifications like AIC are common requirements. Attention to detail, negotiation abilities, and strong interpersonal communication help you excel in resolving claims efficiently and empathetically. These skills ensure accurate claim outcomes, customer satisfaction, and compliance with company and regulatory standards.

What are common challenges faced by employees working at Mapfre, and how can they overcome them?

Employees at Mapfre, whether in claims, underwriting, or customer service, often face the challenge of adapting to rapidly changing insurance regulations and evolving customer expectations. Navigating complex cases, meeting performance targets, and staying updated with new technologies are key aspects of the role. To succeed, team members benefit from proactive communication, ongoing professional development, and leveraging Mapfre's training and support resources. Collaborating closely with colleagues and managers also helps to address challenges efficiently and maintain high service standards.

What is the difference between Mapfre vs Insurance Agent?

AspectMapfreInsurance Agent
Required CredentialsLicenses, certifications in insurance sales and underwritingLicenses, certifications in insurance sales
Work EnvironmentCorporate office, call centers, online platformsIndependent or agency-based, client meetings, fieldwork
Employer & Industry UsageInsurance companies, including MapfreInsurance agencies, brokerages, companies
Common Search & ComparisonYesYes

Mapfre is a global insurance company offering various insurance products, while an Insurance Agent is a sales professional representing insurance providers, including Mapfre. The main difference lies in Mapfre being an organization, whereas an Insurance Agent is an individual working within or for such organizations. Both roles require licensing and operate within the insurance industry, but their functions and work environments differ.

What is the hiring process for Mapfre?

The hiring process for a Mapfre position typically involves submitting an online application, followed by an initial screening interview. Candidates may then participate in one or more interviews, assessments, or tests to evaluate skills and fit before a job offer is extended. The process may also include background checks and reference verification depending on the role.

What are popular job titles related to Mapfre jobs in Boston, MA?

For Mapfre jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Mapfre jobs?

Cities near Boston, MA with the most Mapfre job openings:

Infographic showing various Mapfre job openings in Boston, MA as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $70,640 per year, or $34 per hour.

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

Mapfre

Boston, MA • On-site

$121 - $182/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Overview

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

Date: Jul 14, 2026

Location: Webster or Boston, MA, US

Company: MAPFRE

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 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. You will partner across business and technology teams to transform complex business knowledge into scalable enterprise capabilities that improve data discoverability, governance, and AI readiness, and influence 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.
  • 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 a purpose-driven career where your growth, well-being, and impact 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.

Nearest Major Market: Boston

Job Segment: Database, Data Architect, Computer Science, Data Management, Recruiting, Technology, Data, Human Resources

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