David G.
Director, Data & AI Practice Lead (US-Wide) @ Lantern
About
David Gerrelli stands at the intersection of enterprise architecture, data engineering, and artificial intelligence, helping organizations unify fragmented systems and transform data into measurable business intelligence. With nearly three decades of experience spanning architecture, product development, and AI platform innovation, David advises global enterprises on modernizing legacy estates and building scalable, intelligent data ecosystems. He defines and delivers enterprise-wide strategies across data modernization, AI enablement, and architecture transformation. His work focuses on designing secure, compliant, cloud-native environments that integrate operational systems, analytics platforms, and AI capabilities within a governed framework. Leveraging technologies such as Azure, Microsoft Fabric, Databricks, and emerging agentic AI architectures, he enables organizations to deploy copilots, intelligent automation, and decision-support systems grounded in trusted data foundations. David’s background spans enterprise integration, governance, and large-scale modernization across commercial real estate, financial services, construction, manufacturing, and public sector organizations. He has guided companies from traditional on-premise infrastructures to distributed, intelligent, and compliant data estates, embedding DevSecOps, enterprise data governance, and regulatory alignment across SOX, PCI-DSS, and GDPR environments. As both strategist and practitioner, David partners with CIOs, CTOs, and digital leaders to design architecture roadmaps that balance innovation with control, ensuring AI, data platforms, and enterprise systems operate as one cohesive capability. Previously, David led Enterprise Data Product and Data Science teams at CBRE, delivering machine learning driven standardization and global analytics platforms that reshaped decision-making across 400+ markets. He believes intelligent systems only create advantage when paired with disciplined architecture and strong executive alignment. US Green Card Holer British Citizen Australian Permanent Resident
United States
Plano
Information Technology & Services
Microsoft Partner, Digital Transformation, Generative AI Tools, Computer Vision, Generative AI, Natural Language Processing (NLP), Data Governance, Business Strategy, Expert Advisor, Startups, Google Gemini, Machine Learning, Artificial Intelligence (AI), ChatGPT, Google Bard, Large Language Models (LLM), Data Science, Data Analysis, Big Data Analytics, Software Development Life Cycle (SDLC)
Experience

Director, Data & AI Practice Lead (US-Wide)
Plano, Texas, United States
As National Data & AI Practice Lead for Lantern, I lead a 30+ multi-region team delivering enterprise data platforms, analytics, and agentic AI solutions across the United States. I own national strategy, portfolio growth, and delivery execution, scaling Lantern’s Data & AI business from regional roots into a U.S.-wide practice supporting Fortune-scale and public-sector clients. My focus is on translating advanced data and AI capabilities into practical, revenue-generating outcomes - modernizing data estates, operationalizing AI, and enabling executives to move from experimentation to production-grade impact. 𝗣𝗲𝗼𝗽𝗹𝗲 & 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 • Lead and mentor a 30-person national Data & AI team spanning multiple U.S. regions and delivery pods • Own hiring strategy, capability development, utilization, and delivery maturity across the practice • Establish operating models, standards, and repeatable delivery patterns for scalable growth 𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 • Lead enterprise adoption of Microsoft Fabric, Copilot Studio, and agent-based AI architectures • Drive development of agentic AI solutions (data agents, copilots, decision agents) embedded into real business workflows—not demos • Standardize patterns for AI-ready data platforms, governance, and semantic models that accelerate AI time-to-value • Guide clients from experimentation to production AI at scale, including security, compliance, and change management 𝗚𝗼-𝘁𝗼-𝗠𝗮𝗿𝗸𝗲𝘁 & 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 • Partner closely with Microsoft Fabric & Copilot leadership on national GTM alignment, co-sell motions, and client enablement • Define Lantern’s AI-led value propositions, offerings, and accelerators across industries • Support executive stakeholders with AI strategy, operating model design, and governance frameworks

Director, Data & AI Practice Leader (Dallas Region)
Dallas, Texas, United States
As Practice Lead, I built Lantern’s Data & AI consulting capability from the regional base, defining the service portfolio, delivery standards, and technical operating model. I established core frameworks for enterprise modernization, governed data foundations, and AI operationalization, delivering secure and Microsoft-native platforms across Fabric, Azure, Power Platform, and Copilot Studio. 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: • Strategic Leadership: Defined Lantern’s Data & AI vision and offerings, partnering with Microsoft’s Cloud & AI divisions to align with Fabric and Copilot GTM strategy. • Enterprise Data Modernization: Delivered scalable architectures using Fabric Lakehouse, Azure Synapse, Databricks, Data Factory, and Purview for unified analytics and governance. • AI Enablement: Built Fabric Data Agents, RAG-based enterprise copilots, and custom connectors integrating OpenAI, Azure AI Search, and Prompt Flow. • Governance & Compliance: Established frameworks aligned to SOX, PCI-DSS, and GDPR, embedding auditability, observability, and DevSecOps via GitHub Actions and Azure DevOps. • Architecture & Integration: Unified ERP, CRM, and operational systems (D365, ServiceNow, SAP, CMMS) into enterprise semantic and reporting models. • Practice Growth: Built internal delivery playbooks, accelerators, and SOW frameworks to scale performance, profitability, and AI readiness across industries.

Director of AI/ML & Data Products
Dallas, Texas, United States
Leads global Data Science product strategy, overseeing the development, scaling, and adoption of market-leading data science and data intelligence platforms and products. Delivered 12+ Machine Learning models in 2024, driving AI-enhanced data insights for commercial real estate. Developed and executed the Agentic AI strategy for Building Operations professionals, optimizing AI-driven decision support. Led product development for Next Action Engine & Vantage Analytics, the market leaders in Commercial Real Estate AI powered analytics and insights: Next Action Engine contributed to $649M in wins, now included in 100% of CBRE pitches. Drove $6M in investment for AI, data standardization, and predictive analytics, ensuring enterprise-wide scalability. Managed & scaled global teams of Product Managers, Product Owners, and Data Scientists, aligning data product strategy with business growth. Transformed underperforming product teams, implementing strong leadership, structure, and strategic alignment to drive measurable business impact.

Global Data Products Director, America's & Asia Pacific
Sydney and Dallas
Led deployment of CBRE’s Enterprise Data Platform to three of the largest Asia Pacific markets. Turned complex regional business needs into actionable Agile roadmaps, successfully launching the Broker Operating Platform across the Pacific, India, and China. Managed globally dispersed teams, aligning product development across Asia Pacific and U.S. operations.

Global Product Dir., Enablement & Innovation
Asia Pacific
Designed & led CBRE’s award-winning $2.5M Capex + $150K OpEx PropTech innovation, Perspectives, earning: o 🏆 RICS Innovation Award (2019) Learn more… https://www.commercialrealestate.com.au/news/cbres-perspectives-technology-that-allows-interactive-property-inspections-wins-rics-award-846026/ o 🏆 Australian Property Institute Best Innovation Team Award (2019) Built & scaled a high-performing, cross-regional team across Australia, Singapore, and India (Unity Developers, GIS Experts, Innovation Managers). Developed CBRE’s Smart Building (IoT) & Digital Twin strategy for Asia Pacific, advising major landlords (Investa, ISPT) on implementation. Led Robotic Process Automation (RPA) initiative, delivering $6M+ in savings for CBRE’s Asia Pacific Valuations team. Designed & launched Singapore Explorer, a 3D web-based listing platform covering 95% of Singapore’s commercial buildings, integrating Esri City Engine, Ruby on Rails, and JS.

Global Director, Global Application Delivery
London, United Kingdom
Scaled a global SharePoint team across London, Sydney, Warsaw, Gurgaon, and the U.S., delivering enterprise-wide collaboration tools. Managed a $1M+ budget, optimizing software licensing, consulting, infrastructure, and training. Introduced the 70-20-10 SharePoint service delivery model, reducing costs and accelerating deployment. Earned executive funding for global expansion based on the success of enterprise collaboration solutions.

Advisor
Dallas, Texas, United States
Advising an emerging Agentic AI-driven startup specializing in data governance and automated data management. Providing strategic guidance on product development, market positioning, and go-to-market strategy to support early growth. Helping shape AI-powered automation solutions for enterprise data management across Japan, the UK, and the U.S..

Senior Desktop Support Technician
First Choice Holidays and Flights
West Sussex, England
- Began as an apprentice, quickly promoted to full-time. - Provided 1st & 2nd line support, ensuring business continuity for holiday operations.
David G.'s Contact Information
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