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Lead Mapfre’s enterprise Context Layer, driving data governance, AI readiness, and semantic excellence across analytics and AI copilots.
Manage cross‑functional teams, shape the Data & AI strategy, and influence enterprise knowledge ecosystems.
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.
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/
Legal Notice
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.