Team leadership & talent development
Building and leading international teams, coaching, hiring, retention and career development.
18 contributions across 5 experiences
Where this skill was applied
- Gavi, the Vaccine Alliance2026 · 1 contribution
- EPAM Systems2024–2025 · not applied
- Solara282025–2026 · not applied
- DSM-Firmenich2019–2024 · 6 contributions
- Fair Trade Handels2018 · 1 contribution
- Nespresso (Nestlé)2013–2018 · not applied
- United Nations2012–2013 · 1 contribution
- United Nations CGIAR2002–2011 · 3 contributions
- CapodannoRoma, Helloitaly & Radio&Data Communications1994–2006 · not applied
Often together withMachine learning, deep learning & MLOpsInnovation & change managementProgramme, project & vendor managementExecutive advisory & pre-salesBusiness value & financial managementSolution & enterprise architecture
2019–20246 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.
- Coached and led the Digital and Data Science core leadership team (3 FTE) within the broader 15+ FTE organisation — direct reports, team leads, technical leads, academic collaborators and matrixed delivery staff — with clear performance, capability and succession responsibilities.
- Steering Committee member of the Corporate Research Program for Digital Transformation; co-authored the 2019 Digital Aiming Points for the global R&D digital strategy and contributed to the HR Talent Acquisition and Retention Strategy.
- 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%.
- Coached regional data scientists and colleagues on data science and digital transformation for projects spanning 60+ R&D labs, 85 manufacturing plants and supply chain, chemistry, compound analytics, formulations, marketing and sales.
- Established mentoring, technical career paths, communities of practice, internal learning programmes and leadership coaching for AI practitioners, improving retention, engagement, promotion readiness and technical consistency.
2002–20113 contributions
United Nations CGIAR
- Member of the Academic Committee of the Faculty of Engineering in Information Science at the University of Rome San Paolo, supervising 40+ master’s theses on digital and data science.
- 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.
- Coached and managed teams on digital projects applied to plant genetics for food production in developing countries, motivating internal talent and external partners; created an Innovation Lab and innovation meetings to bring innovation into the organisation.
20261 contribution
Gavi, the Vaccine Alliance
- Leads and coordinates Forward Deployed Engineers embedded with business teams to carry AI systems from prototype into production use.
20181 contribution
Fair Trade Handels
- Head of Data Science and member of the Senior Management Team, leading the shift to a data-driven culture and creating the company’s first Department of Data Science & Reporting.
2012–20131 contribution
United Nations
- Led a team of data scientists and architects on a climate-change project, designing a large-scale data architecture managing 1.2 billion records to analyse agrobiodiversity.
Profile5 contributions
Across the career
- Builds and directs hybrid teams of people and AI agents, including swarms of AI agents, drawing on 30,000+ prompts of hands-on generative AI work.
- Builds, manages and leads high-performing Swiss-based and international AI, data, architecture, engineering and analytics teams; has built and scaled distributed AI and data organisations spanning data science, machine learning, analytics engineering, cloud, architecture and product roles.
- Combines people leadership with talent development, retention, Agile delivery, Scrum, change management and corporate training, embedding inclusive hiring, team formation and career-development practices across multidisciplinary and international technical organisations.
- Leads multidisciplinary teams through complex transformations involving business stakeholders, technical specialists, partners, contractors and executive sponsors.
- Advises C-suite and senior leadership on data governance, AI, agentic AI operating models and workforce transformation, and mentors executive teams moving towards data- and AI-led organisations.
Skills1 contribution
Skills & applied knowledge
- Fifteen-plus years of people management, executive management, organisational leadership and cross-functional stakeholder management, including at UN organisations and DSM-Firmenich.
All skills
Artificial intelligence
AI governance, risk & regulatory compliance 76Machine learning, deep learning & MLOps 54Generative AI & LLM solutions 43Data Strategy for AI 36Agentic AI & AI-native engineering 28
Architecture & data platforms
Solution & enterprise architecture 55Data architecture, engineering & governance 52Cloud & multi-tenant SaaS platforms 35Semantic engineering & knowledge management 32
Leadership & business
Innovation & change management 38Business value & financial management 29Programme, project & vendor management 21Executive advisory & pre-sales 19Team leadership & talent development 18Entrepreneurship & venture building 11
Product, marketing & communication