AI Gateway Product Owner, Data Mesh and AI Platforms team

Nordea is hiring an AI Gateway Product Owner, Data Mesh and AI Platforms team. Level rates it ; you can apply on Nordea.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Gemini, Bedrock and AI agents.
Level lists 184 other open roles at Nordea.

AI in this role

geminibedrock

ai-agents

Job ID:5936

Welcome to Group Technology, where we pride ourselves on engineering solutions and leading Nordea's transformation by providing a holistic technological view and structured understanding of the bank and its surrounding environment to enable the Customer Vision and Business Strategy.

As part of Nordea's 2030 strategic direction, we are modernizing our technology and data estate while accelerating the adoption of AI-enabled capabilities across the bank. We are looking for an AI Gateway Product Owner to join our team and drive the strategy, roadmap, and delivery of our enterprise AI Gateway platform. The role includes defining how LLMs, MCPs, and A2A patterns are securely and consistently exposed across Nordea, working closely with engineers, architects, AI governance, risk and compliance stakeholders, and consuming teams across the bank.

About Our Team

The Data Mesh and AI Platforms team is part of the Integration and AI unit. We provide the integration platforms that connect Nordea, including Kong and Kafka, and we are now extending that same platform approach to an AI Gateway covering LLMs, MCP, and A2A. You will help shape the product vision for platforms that support predictive AI, generative AI, and agentic workflows in a regulated banking environment, with a strong focus on secure infrastructure, automated provisioning, identity integration, and reusable engineering patterns.

The team works closely with engineers, architects, cybersecurity, data governance, risk and compliance, and cloud platform teams to ensure our solutions are pragmatic, compliant, and production-ready. You will be expected to combine strong product ownership with platform and governance expertise, and the ability to explain complex platform choices clearly to different stakeholder groups.

This is a full-time permanent position with a hybrid working arrangement—up to 40% remote work is possible, but full remote work is not allowed. We expect to hire in one of these cities: Gdańsk or Gdynia, Poland; Copenhagen, Denmark or Helsinki, Finland.

What You'll Be Doing

Your main responsibilities will include, but are not limited to:

Own and evolve the product vision, strategy, and roadmap for Nordea's AI Gateway and AI Registry capabilities.
Translate regulatory requirements—including the EU AI Act, DORA, and GDPR—into concrete platform capabilities and prioritized backlog items.
Act as the primary point of contact between engineering, architecture, risk and compliance, and business stakeholders consuming AI capabilities.
Drive onboarding of new use cases onto the platform, including LLM access via AWS Bedrock and GCP Gemini AI, MCP servers, and A2A agent-to-agent patterns.
Collaborate closely with engineering teams, architects, and the self-service portal team to ensure the roadmap translates into a strong developer experience.
Define and track success metrics for platform adoption, governance coverage, and operational maturity.
Represent the AI Gateway platform in governance forums and support leadership updates on capability coverage and roadmap progress.

Who You Are

This is the right role for you if:

You are an experienced Product Owner: You know how to build and prioritize a roadmap, write clear requirements, and balance stakeholder needs against technical and regulatory constraints.
You understand platform and API/AI governance: You have experience with API management, gateway patterns, or platform governance in a regulated environment.
You understand AI: Knowledge of how agents, MCP, and A2A work is critical, along with how to secure and govern them through a gateway across different clouds and cloud-native AI stacks.

What We're Looking For

Education and Experience:

A BSc or MSc in Computer Science, Engineering, Business Informatics, or a related discipline, or equivalent practical experience.
Professional experience as a Product Owner, Platform Architect, or similar role within technology or platform engineering.

Required Qualifications

Proven experience as a Product Owner of a technical platform.
Experience working with API management or gateway platforms (e.g., Kong, IBM API Connect/DataPower, Apigee, or Cloud Gateways).
Hands-on experience with LLM gateways or model/agent onboarding workflows.
Knowledge of how agents, MCP, and A2A work, and how to secure and govern them through a gateway across different clouds and cloud-native AI stacks.
Experience with cloud platforms such as AWS, GCP, or Azure, and their native AI stacks (e.g., Bedrock, Gemini AI).
Experience working in agile delivery teams (backlog management, prioritization, sprint planning).
Strong stakeholder management skills, including with architecture, risk, compliance, and engineering teams.

Preferred Qualifications

Experience with Kong API/AI Gateway specifically.
Familiarity with regulatory frameworks relevant to financial services, such as the EU AI Act, DORA, or GDPR.
Background in banking, financial services, or another regulated industry.

If this sounds like you, get in touch!

Next steps

Submit your application no later than 30/11/2026.

For candidates in Finland: A security clearance will be performed for the person selected for this position.

For candidates in Poland: Please include permit for processing personal data in CV as following:

In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter ‘GDPR’. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp.

The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/nordea-privacy-policy-for-applicants.pdf

We reserve the right to reply only to selected applications.

How we rate this

AI Gateway Product Owner, Data Mesh and AI Platforms team at Nordea rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Gateway Product Owner, Data Mesh and AI Platforms team is an open job at Nordea.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Taastrup, 2630.
The job was posted on October 17, 2026.
Applications are handled by Nordea. Apply on Nordea

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsGeminiBedrock

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used Gemini in your day-to-day work.
What are the limits of Bedrock that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

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List these exact terms on your resume: AI agents, Gemini, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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