Italy · Milan / Rome area

For coaching, advisory, speaking or exchanges on Data, Analytics and AI, feel free to reach out on LinkedIn.

Bio

Giancarlo Ronci is a senior data leader and advisor with extensive experience in data management, data warehousing, analytics engineering and modern cloud data platforms.

He works at the intersection of business, architecture and delivery, helping organizations turn data into concrete operating capabilities. His background combines hands-on experience in data warehouse design, streaming and batch pipelines, data governance, data quality and analytics enablement.

His approach is pragmatic: connect strategy, operating model, architecture and execution to generate measurable business value.

Main areas of activity

  • Building and evolving modern data platforms
  • Defining pragmatic Data Strategy and operating models
  • Improving Data Governance and Data Quality capabilities
  • Enabling Business Intelligence, Advanced Analytics and AI adoption
  • Coaching professionals and teams on Data & Analytics leadership

Professional Career

Current

Head of Data Management & Data Warehouse · Soldo · Italy

Leading initiatives on data platform evolution, data warehouse architecture and analytics enablement in a fintech environment.

  • Modern cloud data architecture and data warehouse evolution
  • Data engineering, orchestration and near real-time data pipelines
  • Data governance, data quality and analytical data exposure
Advisory

Data & Analytics Coach & Advisor

Supporting professionals, managers and organizations in strengthening their data capabilities through structured coaching and advisory.

  • Data Strategy and target operating model
  • Coaching on data leadership, architecture and analytics maturity
  • Practical guidance on BI, ML and AI adoption paths
Focus areas

Data Platform, Governance and Analytics Transformation

Over the years, Giancarlo has worked across different layers of the data value chain, from modeling and warehousing to analytics delivery and organizational enablement.

  • Enterprise data warehouse and dimensional / analytical modeling
  • Cloud services and ecosystem integration
  • Business-facing analytics and data-driven decision support

Education

Academic background

Engineering, Data and Technology background

Academic and professional development centered on technology, data systems and analytical problem solving, continuously expanded through practical work on platforms, architectures and applied analytics.

Continuous learning

Ongoing professional development

Continuous focus on cloud data platforms, data engineering, data governance, machine learning, AI and managerial growth in Data & Analytics leadership.

Selected Articles

A selection of articles and reflections on data platforms, governance, analytics strategy and AI adoption.

  • Modern Data Platform: from architecture to operating model
  • Data Warehouse, Data Lake and Lakehouse: when each one makes sense
  • Data Governance in practice: how to move from theory to execution
  • Near real-time analytics: opportunities, trade-offs and architecture choices
  • AI adoption in organizations: where value is real and where it is not

You can find more articles in the Articles section.

Core expertise

  • Data Strategy
  • Data Management
  • Data Warehouse
  • Data Engineering
  • Cloud Data Platforms
  • Data Governance
  • Data Quality
  • Business Intelligence
  • Advanced Analytics
  • AI Enablement

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