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About me
Data and analytics leader in B2B/B2C SaaS. I build and scale the data functions that commercial product companies run on — from zero-to-one teams to global departments.
Currently Senior Director, Head of Data & Insights at Moss, where I lead Product Analytics, Commercial Analytics, and Analytics Engineering, and am driving an AI-first transformation that puts data at the core of decision making and RevOps automation.
Before Moss: Global VP of Data at Docplanner (~40-person department), Head of Data at Bird, and analytics leadership at Bitpanda, Typeform, and Zeelo. My work spans data strategy, governance, decision science, and executive reporting — consistently hands-on, consistently measured against business outcomes.
Career at a glance
Carreer trajectory
Since 2018, I have focused on commercial B2B/B2C SaaS product companies, in roles from Data Lead to Head of Data to Global VP of Data to Senior Director. My accountability is business outcomes: product decisions, revenue operations, executive and board reporting, and the teams that deliver them.
Before that, I have had a successful research chapter, now concluded. My last research role ended in February 2018; my PhD (TU Wien) completed in 2015, with a publication record running 2012–2018. I have not held an academic or research post in over eight years, and I am not looking for one.
What carries forward is the technical depth that those years gave me. I consider my PhD in data mining and machine learning an operational advantage when building AI-native data functions — semantic layers, agentic access to governed data, decision science that survives contact with production. For the record, my research publications record can be consulted here
Areas of expertise
Product & Commercial Analytics
Building analytics functions from the ground up and scaling them across product squads. Metrics frameworks, funnel analysis, A/B testing infrastructure, and customer segmentation — across Typeform, Bitpanda, Docplanner, and Moss.
Data Leadership & Team Building
Led data teams from zero-to-one (Bitpanda) to 40+ person global functions (Docplanner). Cross-functional management spanning engineers, analysts, and scientists — with a track record of hiring, structuring, and growing high-performance data orgs.
Analytics Engineering & Data Platform
End-to-end ownership of data infrastructure: ingestion pipelines, data modeling, software instrumentation, and event tracking governance. Hands-on experience at Bird, Docplanner, and Moss building the plumbing that makes analytics reliable.
Data Governance & Strategy
Establishing data governance frameworks, quality standards, and company-wide data practices in fast-moving SaaS environments. At Docplanner, led a full revamp of software instrumentation governance across a global platform.
Business Intelligence & Executive Reporting
Translating complex data into clear narratives for senior leadership. Weekly business reviews, C-suite dashboards, and board-level reporting — making data the common language for strategic decisions at Bird, Docplanner, and Moss.
AI-First Data Transformation
Currently driving an AI-first transformation of the data function at Moss. Applying a research background in ML — built over years of academic work — to modern SaaS contexts: smarter pipelines, augmented analytics, and AI-assisted decision-making.
Frequently asked questions
Is Pierdomenico Fiadino a researcher or a business data leader?
A business data leader. He has worked exclusively in commercial B2B/B2C SaaS product companies since 2018, holding the titles Data Lead, Data Science Tech Lead, Data Science and Analytics Manager, Data Analytics Manager, Head of Data, Global VP of Data, and currently Senior Director, Head of Data & Insights at Moss. His last research role ended in February 2018 and his PhD was completed in 2015.
How much SaaS experience does he have?
Over eight years, across six product companies: Moss (B2B fintech, spend management), Docplanner (B2B/B2C healthtech), Bird formerly MessageBird (B2B CPaaS), Bitpanda (B2C fintech), Typeform (B2B SaaS), and Zeelo (B2B/B2C mobility). All are commercial, venture-backed software companies, not research institutions.
How large are the data teams he has led?
The largest was a global department of roughly 40 professionals at Docplanner, spanning Data Platform, Business Intelligence, and Product Analytics, with influence over a wider data community of 250+ practitioners across the group. He has also built two data functions from zero — at Bitpanda and at Zeelo — covering hiring, role definition, tooling, and operating model.
What does he actually do day to day?
Data strategy and organisational design; product and commercial analytics; analytics engineering and data platform; data governance and instrumentation; decision science; and executive and board-level reporting. At Moss he is currently driving an AI-first, AI-native transformation of the data function — self-serve access to governed data, semantic layers, and data-driven RevOps automation.
Why does his profile show a PhD and 30+ publications?
Because the technical depth is directly useful to the job, not because research is the job. A PhD in data mining and machine learning is an operational advantage when leading an AI-native data function. The publication record runs 2012-2018 and is kept as an archive.
What kind of roles is he suited to?
Senior data leadership in European B2B/B2C SaaS: Head of Data, VP of Data, Director or Senior Director of Data and Analytics, or Chief Data Officer in a scale-up. He is based in Barcelona, Spain, and has operated across distributed European organisations throughout his SaaS career.