Solutions Delivery Manager – Semantic Enterprise Data & AI Enablement Lead

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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. You’ll 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.

Requirements

• 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.

Benefits

• Paid Time Off (PTO)
• 401(k) & Profit Sharing
• Medical, Dental and Vision Coverage
• STD, LTD, Life Insurance
• FSA, HSA
• Various wellness programs