Whole-of-government data and AI products
Leading portfolio work across Abu Dhabi Government's Data Factory, connecting business priorities, governed data, AI delivery, and measurable public value.
About
Building operating systemsfor data and AI products
I connect strategy, standards, governance, software, and delivery. My work turns fragmented data and AI initiatives into products people trust, leaders understand, and organizations reuse.
Selected results
Proof from public systems, open standards, and delivery.
Data product standards
Founder and maintainer of the Open Data Product Specification family under the Linux Foundation, with adoption and implementation work involving organizations including BASF, Alation, and Kruger.
Delivery transformation
Increased delivery speed by 270 percent in one year at Platform of Trust, a data-product-focused industry platform in Finland, in 2019 when data product thinking was still taking early shape.
National digital infrastructure
Led the MPASSid education identity service at Finland's Ministry of Education and Culture, a strategic national initiative under ministerial sponsorship that included legal changes, broad stakeholder management, and technology development. It serves more than 2.5 million users and remains in heavy use.
Selected practical work
Focused support where standards meet adoption.
Alation
Supported the use of ODPS as part of the foundation for an AI-assisted data product builder.
BASF
Supported business and technical teams in understanding how ODPS fits a complex enterprise data environment.
Kruger
Helped the organization move from early interest toward a practical, staged ODPS adoption approach.
Government data exchange and API modernization
Helped initiate REST API adoption for X-Road and contributed to the Finnish-Estonian collaboration that established REST support on the government data exchange platform. X-Road later adopted the Open Data Product Specification family that I lead under the Linux Foundation.
The work usually starts with the business problem, followed by focused technical sessions and implementation review. Each stage gives the organization a clear point to continue, adjust, or stop.
Closing
The work starts with a real problem
I work where data and AI initiatives often break down, between the business case, the data, the standard, the software, governance, and delivery.
Discuss a problem