Massimo BuonaiutoPrincipal Director · Data & Artificial Intelligence

Topics / Skills

Business value & financial management

Revenue growth, cost savings, ROI, budgets, business cases and operational efficiency.

29 contributions across 8 experiences

Where this skill was applied

2019–20245 contributions

DSM-Firmenich

  • Managed a cross-disciplinary team of data scientists, PhD students, contractors and cloud developers (15+ FTEs), delivering commercial and R&D projects with over €70 million in projected value, recognised by DSM’s scientific community and leadership; nurtured international R&D partnerships with client partners up to C-level.
  • Managed an annual technology and innovation budget of about USD 500,000.
  • Founded and led the Digital Hub in Poland, an agile, start-up-like AI research group with proven cost savings of €650,000 per year, and designed its Talent Acquisition Strategy for Digital and Data Science with retention guidelines, cutting AI team turnover by 80%.
  • Implemented a production-grade MLOps framework for AI-driven lab automation (CNN/NLP chromatogram recognition), achieving €1.5M annual ROI and €1.2M annual savings through workflow automation.
  • Ideated and led research on an AI digital twin modelling the statistical distribution of sun-cream UV filters on skin, aiming to replace in-vivo experiments with digital solutions — a projected value of €30M+ per year.
20185 contributions

Fair Trade Handels

  • Achieved a +561% quarterly revenue increase with a data-analytics marketing campaign using predictive behaviour modelling for the 2018 World Cup.
  • Delivered 8% savings on shipping fees through operations and supply-chain analytics, and +12% customer conversions through real-time campaign analytics.
  • Restructured functions, technical teams and programmes into a digital, data-driven organisation, optimising distribution, revenue management, pharmaceuticals, decision-making and sales operations.
  • Built the data and reporting estate on Snowflake and implemented dashboards with KPIs for customer engagement, global supply chain, digital marketing, sales operations, change management and programme management.
  • Introduced utilisation and capacity governance across distributed teams to balance growth, quality and profitability in regulated delivery environments.
20264 contributions

Gavi, the Vaccine Alliance

  • Established and operates the Innovation Lab’s experimental AI tooling estate on Microsoft Frontiers models in Azure — including Cowork, Copilot Claude, MS Scout and OpenClaw for agentic-AI experimentation and architecture evaluation, alongside Cursor, Lovable, Bolt, v0, Microsoft 365 Copilot, Copilot Studio and Azure AI Foundry — under defined tool-selection rules, cost guardrails and an approved/excluded tooling list.
  • Managed the Innovation Lab KPI framework across Innovation & Delivery, Business Impact and Engagement.
  • Operationalised AI governance controls covering data leakage, agent proliferation, cost overruns, prompt injection, hallucination and shadow AI, with per-agent monthly credit limits and threshold alerting, DLP connector policies blocking third-party connectors, and monitoring across Power Platform Admin Center, Microsoft Purview and Microsoft Sentinel, reported monthly to the AI Steering Committee.
  • Established the reusable reference architecture for grounding Copilot agents in enterprise knowledge — SharePoint → Azure Blob → Snowflake → Azure AI Search vector index → Power Automate → Azure OpenAI → Copilot in Teams/SharePoint — secured with Entra ID RBAC, Key Vault and Purview DLP, with mandatory citation traceability and token-consumption cost controls.
2024–20254 contributions

EPAM Systems

  • Led the technical response to a Tier-1 Swiss bank’s enterprise AI RFI — structured on business value; technology, security and compliance; and people, operating model and governance — later reused as the technical core of a second pursuit with the same bank and the engagement behind EPAM’s preferred-vendor status.
  • Defined an LLMOps evaluation framework for RAG and agentic systems measuring retrieval relevance, groundedness, factuality, hallucination rate, task completion, latency, cost per interaction, safety and user satisfaction.
  • Implemented end-to-end observability across data pipelines, retrieval layers, LLM calls, agent workflows, model outputs, user feedback, infrastructure performance and operational cost.
  • Introduced AI FinOps to monitor and optimise cloud spend, GPU consumption, token usage, model routing, embedding costs, vector-store capacity and cost-to-serve by product or client.
2025–20264 contributions

Solara28

  • Designed a sustainable, zero-commission commerce model enabling independent B2C ecosystems, in which merchants retain full ownership of customer, order and product data while improving long-term profitability.
  • An audited codebase review (August 2026) across eight engineering roles — frontend, backend, database, QA/security, DevOps, localisation, architecture and documentation — estimated the work at about 274.8 person-years (60,462 working days), roughly 275 engineers for one year, with a salary-equivalent labour value of about CHF 30.1M / EUR 19.6M at the midpoint (range CHF 25.9M–34.3M / EUR 15.5M–23.7M); all of it was delivered single-handedly. Evidence ↗
  • Designed as next-generation commerce infrastructure for local economies, combining AI-native operations, multi-tenant SaaS architecture and decentralised business ownership to support European business sovereignty and restore data sovereignty, margin control and customer ownership to independent merchants.
  • Architected a provider-agnostic LLM service layer (TypeScript/Node.js/Supabase) connecting OpenAI, Anthropic and Gemini APIs, with configurable provider settings, prompt governance, conversation logging and health monitoring, powering conversational and voice-enabled commerce (“Talk to Your Shop”), automated catalogue ingestion from PDFs, photos and Excel, and predictive revenue forecasting.
2013–20182 contributions

Nespresso (Nestlé)

  • Implemented an A/B/n multivariate testing strategy that significantly improved campaign effectiveness and ROI, integrating sentiment analysis and topic modelling for actionable insights.
  • Designed the institutional performance-metrics framework for Nespresso e-commerce, supporting customer engagement, performance management and optimisation of budget spending across all markets.
2002–20111 contribution

United Nations CGIAR

  • Held full responsibility for project budgets — an annual technology and innovation budget of about USD 500,000 — and managed cross-functional teams on large-scale digital transformation, achieving USD 100,000 cost savings in a single project, presented at the UN ShareFair.
1994–20061 contribution

CapodannoRoma, Helloitaly & Radio&Data Communications

  • Co-architected and built Helloitaly.it, the first online travel portal in Italy, later acquired by Expedia Group: inventory for 15,000+ hotels and 500% global revenue growth (1998–2002).
Profile3 contributions

Across the career

  • Uses Solara28 as a concrete reference case for AI-native product strategy, operational efficiency, platform architecture and business-model innovation.
  • Connects technology strategy to business value, cost optimisation, operational efficiency, revenue growth, risk reduction and customer outcomes.
  • Translates ambitious strategy and complex technical possibilities into practical operating models, technology and delivery roadmaps, business cases, investment priorities, partnerships and measurable delivery outcomes.
All skills

Artificial intelligence

Architecture & data platforms

Leadership & business

Product, marketing & communication