Lorenzo Lombardi

Principal Data Architect | AI-Enhanced Data Governance & Lineage | Enterprise Solutions Architect at NTT DATA Italia, with over 20 years of experience in Enterprise Data Management — primarily in Banking and Insurance.

Two decades ago, when dot matrix printers and fax machines were still widespread, I decided to pursue a career in IT, a constantly evolving sector with unlimited potential for growth and transformation.

Throughout my career, I have held various roles, including IT Manager, Head of Deliverability, and Product Manager. These experiences have taught me the importance of using the past as a guide without letting it become a constraint. It’s essential to remain open to new ideas and not get trapped in old certainties.

I’ve also learned that titles describe roles, but outcomes are always the result of a crew. The helmsperson sets the course, the bowman makes it possible: every role on the boat matters, and a single wrong move puts everyone in the water.

What I Do Today

At NTT DATA, I lead data governance initiatives and develop complex architectural solutions for enterprise clients within the Data Intelligence & AI team. I also oversee the Informatica Competence Center, established as the central authority on Informatica implementations and best practices across the organization.

Outside of client work, I am the author and maintainer of AIPAF — AI Project Assessment Framework, a structured, modular approach to evaluating enterprise AI projects grounded in NIST AI RMF 1.0, ISO/IEC 42001:2023, and the EU AI Act. The reference implementation — a Python CLI with a deterministic scoring engine and an optional RAG layer — is open source on GitHub under the MIT license.

Specializations

  • Data Governance — Frameworks, policies, and processes for enterprise data management; regulatory compliance (BCBS 239 / RDA&RR, GDPR)
  • Data Architecture — Design of scalable enterprise solutions for Banking and Insurance
  • Informatica Suite — PowerCenter, Data Quality (IDQ), Enterprise Data Catalog (EDC), Axon, IDMC, Dynamic Data Masking (DDM), and PowerCenter-to-CDI migrations
  • Data Lineage & Metadata — Solutions for compliance, data trust, and AI-enhanced discovery
  • Agentic AI — Multi-agent architectures, Model Context Protocol (MCP) server design, LLM integration patterns, tool use / function calling
  • Generative AI for Data — Retrieval-Augmented Generation (RAG), ML for anomaly detection and predictive data quality, LLM integration in governance workflows
  • AI Governance — Structured assessment of AI projects against NIST AI RMF, ISO/IEC 42001, and the EU AI Act
  • Integration & Automation — Python and Bash scripting to integrate, monitor, and extract information from enterprise platforms

Certifications

AI & Generative AI

  • OpenAI Technical Practitioner - PartnerU
  • AI Agentic Applications Masterclass — Data Masters
  • Claude Code in Action — Anthropic
  • Introduction to Model Context Protocol — Anthropic
  • Model Context Protocol: Advanced Topics — Anthropic
  • GPTS-CLAIRE AI Foundation Certification — Informatica
  • Building AI — University of Helsinki
  • Elements of AI — University of Helsinki

Data Governance & Informatica

  • Data Governance Implementation Practitioner — Informatica
  • Cloud Data Integration for PowerCenter Developers, Foundation Level — Informatica

IT Service Management

  • ITIL 4 Foundation Certificate in IT Service Management — PeopleCert / AXELOS

Languages

  • 🇮🇹 Italian (native)
  • 🇬🇧 English (professional — B2)
  • 🇫🇷 French (basic)

For a detailed overview of my career history and professional background, visit my LinkedIn profile. I also write on Substack.

This is my personal space where I share projects, technical articles, and useful resources in the field of data management.