Mike Lampa

Enterprise Data & Analytics Strategist and Executive Thought Leader

Industry Analyst | Practitioner | Consultant | Curriculum Designer & Educator |

Data & AI Architecture Expert

About Mike

Mike Lampa is an Enterprise Data & Analytics executive-level thought leader, practitioner, consultant, industry analyst, and educator with more than 25 years of experience helping organizations transform how they manage, govern, architect, and create value from data. His experience includes more than 250 Enterprise Data Warehouse deployments and spans Enterprise Data & AI Architecture, analytics strategy, modern cloud data platforms, Master Data Management (MDM), Entity and Identity Resolution, Data & AI Governance, Data Quality & Observability, technology assessment and selection, and organizational transformation.

Mike brings a practitioner’s perspective to executive advisory and industry analysis. He combines proven data management and architecture fundamentals with modern cloud technologies, Lean principles, Agile delivery techniques, and AI-enabled methods. His focus is not simply on what technologies can do, but how organizations can operationalize their capabilities, govern them, integrate them into sustainable architectures, develop the required skills, and translate investment into measurable business value.

Areas of Expertise

Strategy & Lean-Agile Analytics Portfolio Management — Helps organizations establish and continuously evolve Strategic Analytics Portfolios that connect enterprise objectives and measurable business outcomes with prioritized Data, Analytics, and AI investments. His approach incorporates Lean principles, Systems and Design Thinking, and Agile delivery techniques.

Enterprise Data & AI Architecture — Designs scalable architectures spanning traditional Enterprise Data Warehousing, modern cloud and lakehouse platforms, medallion architectures, semantic layers, Data Products, and governed AI-ready data foundations. His “Data Models as Code” approach integrates modeling and architecture with modern DataOps and engineering practices.

Data Management, MDM & Entity Resolution — Advises organizations on MDM strategy, architecture, operating models, platform selection, critical data elements, match/merge, survivorship, stewardship, hierarchy management, and deterministic, probabilistic, fuzzy, graph-based, rules-driven, and AI/ML-assisted identity resolution.

Data & AI Governance, Data Quality & Observability — Approaches governance as an operational capability embedded throughout Data, Analytics, and AI lifecycles. His work encompasses ownership and stewardship, metadata, lineage, security and privacy, Data Quality, pipeline observability, anomaly detection, operational health, and responsible AI.

Capability-Based Technology Assessment & Selection — Uses structured, evidence-based capability assessment to help executives look beyond vendor feature comparisons and determine which technologies best align with organizational strategy, architecture, maturity, constraints, and future-state requirements. Examples include Databricks vs. Snowflake Cloud Data Platform assessments and Reltio vs. Verato MDM platform assessments.

Education & Organizational Enablement — Designs and teaches practitioner-oriented curricula in Data Modeling, Data Quality & Observability, Data & AI Governance, and Lean-Agile Analytics Portfolio Management, enabling organizations to internalize repeatable methods rather than remain dependent on external expertise.

AI-Enabled, Practitioner-Led

A central theme of Mike’s work is using AI to optimize and accelerate—not replace—sound architecture, governance, engineering, and human judgment. He applies AI-enabled approaches to modeling, profiling, Data Quality, governance, MDM and entity resolution, technology assessment, portfolio planning, documentation, and other traditionally labor-intensive Data & Analytics disciplines.

Industry & Public Sector Persepective

Mike’s experience spans State & Local Government/Public Sector, Healthcare, Banking & Financial Services, Manufacturing, Telecommunications, Utilities, Retail, Consumer Products, Marketing, Media, and Advertising. His Public Sector experience encompasses Health & Human Services and Medicaid, Justice and Defense, Public Defender organizations, Labor & Industry, Livestock and Agriculture, Education, and other State Government functions.

This combination of practitioner experience, methodology development, technology assessment, education, and cross-industry perspective positions Mike to contribute to executive advisory programs, industry research, analyst engagements, roundtables, webinars, podcasts, and market education focused on the evolving Data, Analytics, and AI landscape.

Connect with Mike

Follow Mike: [LinkedIn]
Mobile: (972) 467-7788