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{\Large\bfseries Dennis Thiessen, M.Eng.}\par
Bern, Switzerland $\vert$
\href{mailto:dennis@thiessen.io}{dennis@thiessen.io} $\vert$ +41 795 955 585 $\vert$
\href{https://linkedin.com/in/dennis-thiessen}{LinkedIn}

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Per Olav Marthinsen\\
Aker BP ASA\\
Norway

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29 July 2026

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\textbf{Application for Data Product Architect -- AI-ready Data Products}

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Dear Per Olav Marthinsen,

The role addresses at enterprise level a problem I already work on in production. At Swisscom I model and build governed data products inside the company-wide Data Mesh, onboard the source systems behind them, and document their metadata and lineage in Atlassian Compass. Getting those products trusted and discoverable enough that analytics and AI consumers actually rely on them is the daily work, and it is the same foundation the agent use cases you are building on Cognite Atlas AI depend on.

My experience is on the practitioner side of governance. As Component Owner for business-critical Fulfillment pipelines I carry the data quality, incident resolution and on-call duty for them, rather than handing standards to someone else to live with. Earlier, as Application Owner at Bosch Semiconductor in Dresden, I defined SLOs and wrote the documentation and training that supported adoption across engineering teams in a 24/7 fab. Years of implementing standards in production is how you learn which of them stay adoptable and which get quietly bypassed, and that is the perspective I would bring to evolving your framework alongside the Governance Lead and Catalogue Owner.

Practically: as a German citizen I need no sponsorship to work in Norway, and I am ready to relocate for this role. I know the country a little already, having spent a year at Vizrt in Bergen, and my Norwegian is elementary but something I would build on. I work in German and English.

I would welcome the chance to discuss how this experience could support the Data Delivery team.

Kind regards,

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Dennis Thiessen

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