Solutions Delivery Manager - Semantic Enterprise Data & AI Enablement Lead -Hybrid Boston or Webster
Listed on 2026-07-20
-
IT/Tech
Data Engineering, Information & Knowledge Management, AI Business & Operations, Data Warehousing
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 DoEnterprise 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.
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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).