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Experience

Senior Director, Head of Data & Insights @ Moss
Feb 2026 – Present
SaaS FinTech spend management B2B

Moss is a European spend management platform helping companies control and automate their corporate spending — from cards and expenses to invoices and accounting — through a unified product experience.

  • Lead the Data function at Moss, covering Product Analytics, Commercial Analytics, and Analytics Engineering, with end-to-end responsibility over the company's information needs
  • Drive an AI-first data transformation: putting data at the core of decision making by enabling broad, self-serve data access across the organisation and unlocking data-driven RevOps automations
  • Strategic data partnership with the Leadership Team: ensuring strategic forums and key business decisions are backed by timely, reliable data
  • Manage and grow a team of data professionals (analysts, analytics engineers, product analysts), shaping roles, ways of working, and standards across the function
Senior Leadership · 2023 – 2026
Global VP of Data @ Docplanner
Mar 2024 – Feb 2026
SaaS HealthTech B2B B2C

Docplanner is the world's largest HealthTech platform, providing patients with marketplaces to find the perfect doctor and health professionals with solutions to manage their practise.

  • Lead the Global Data function at Docplanner Group, composed of Data Platform, BI, and Product Analytics. Directly manage a department of ~40 professionals across multiple teams and influence the company's "data community" of 250+ data experts
  • Oversee the Global Data Infrastructure, serving internal data consumers and external customers
  • Drive Data Governance initiatives, impacting data modelling, taxonomies, and the definition of KPIs across the Group's product portfolio and local/global operations
  • Deliver data assets (institutional dashboards, critical pipelines, curated datasets) and Decision Science solutions (predictive models) for Top Management
  • Spearhead major ongoing initiatives: (i) revamp software instrumentation and event tracking governance (Amplitude, Avo, GA4); (ii) harmonise CRMs across local operations (Salesforce, Tableau, Superset); (iii) optimise Data Warehouse architecture and data modelling (DBT, Airflow)
Head of Data @ Bird formerly MessageBird
Jan 2023 – Feb 2024
SaaS CPaaS telecommunications B2B

MessageBird's mission is to create a world where communicating with a business is as easy as talking with a friend. It powers communication between businesses and their customers — across any channel, always with the right context, and on every corner of the planet.

  • Manage a cross-functional team composed of Data Engineers, Analytics Engineers, Data Scientists, and Data Analysts
  • Leading data initiatives company-wide: software instrumentation and tracking, data ingestion pipelines, data modeling and DWH architectures, metrics definition, institutional reporting and data science
  • C-Suite reporting: organized Weekly Business Reviews (WBR) for Product and Go-To-Market departments
Early SaaS · 2018 – 2022
Data Analytics Manager (Product) @ Bitpanda
Jan 2022 – Dec 2022
crypto fintech B2C

Bitpanda GmbH is an Austrian company headquartered in Vienna. Its mobile app provides access to a trading platform offering cryptocurrency exchange, commodities and securities trading, and ETFs.

  • Built the data analytics function from scratch, from hiring to definition of the Product Analyst role
  • Rollout of the company's first A/B tests, with impact throughout the whole customer funnel
  • Definition of the Product metrics framework, customer segmentation, and characterisation of ideal customer profile
Data Science and Analytics Manager @ Typeform
Jan 2021 – Dec 2021
SaaS marketing B2B

Typeform is a Spanish online software as a service company specializing in online form building and surveys. Its software has been used by Apple, Airbnb, Uber and Nike, and produces millions of forms every month.

  • Manage a team of data scientists focused on product analytics and prototyping of ML-driven features
  • Coordinate data strategy and objectives of multiple product and customer success squads and tribes
  • Liaise with product stakeholders in setting measurable goals aligned with the company's north star metrics
Data Science Tech Lead @ Typeform
Nov 2019 – Dec 2020
SaaS marketing B2B
  • Technical leadership across charters of data scientists; facilitating cross-functional collaboration among data scientists, data engineers and ML-specialists; definition and propagation of quality standards, best practises, tools, methodologies; coordination of development of internal analytics tools and libraries
  • Hands-on work in strategic and multi-disciplinary projects aimed at informing upper management's decisions
Data Lead @ Zeelo
Feb 2018 – Oct 2019
SaaS transportation B2B B2C

Zeelo is the smart bus platform for organizations, providing flexible turn-key and plug-in transportation programs for commuting and school runs. It uses data to identify, build and improve fixed bus routes and shuttles to maximise ridership.

  • Established and led company-wide data activities end to end (platforms, analytics, machine learning)
  • Development of internal ML-driven products for prediction of human mobility through heterogeneous sources
  • Business Intelligence: producing actionable insights for business development, operations, marketing; design of ETL processes and Data Warehouse architecture
Research & Data Science · 2010 – 2018
Senior Data Scientist @ Eurecat
Jan 2016 – Feb 2018
research R&D consultancy

Eurecat is the technology centre in Catalonia, serving the industrial and business sectors with differentiating technology and advanced expertise, offering solutions to their innovation needs and boosting their competitiveness in a fast-paced environment.

  • Technical leadership in applied R&D projects in the fields of Intelligent Transport Systems, Smart Cities, IoT
  • Business Intelligence, Big Data Platforms, Data Quality Assessment, data consultancy to SMEs and startups
R&D Engineer (Data Mining) @ Telecommunications Research Center Vienna
Mar 2010 – Dec 2015
research R&D telecommunications

The Telecommunications Research Center Vienna (FTW) is the joint research centre of leading players in telecom business and science in Austria, including major telecom equipment manufacturers, network operators, and the Universities of Technology in Vienna and Graz.

  • Commercial R&D projects in the field of network data monitoring and analytics in collaboration with major ISPs
  • Machine Learning and Data Mining applied to massive network datasets: exploratory analysis, human mobility characterisation, user profiling, detection and classification of network anomalies