AI Gateway Product Owner (Data Mesh & AI Platforms)

Quick Facts

• Role: AI Gateway Product Owner for Data Mesh and AI Platforms

• Focus: Enterprise AI Gateway platform for secure LLM, MCP, and A2A exposure

Description

You will own and evolve the product vision, strategy, and roadmap for Nordea’s AI Gateway and AI Registry capabilities. The role translates regulatory requirements (EU AI Act, DORA, GDPR) into concrete platform capabilities and prioritized backlog items, and drives onboarding of new AI use cases. You will act as the main link between engineering, architecture, risk/compliance, and business stakeholders, ensuring a strong developer experience and measurable platform adoption.

Responsibilities

• Own and evolve the AI Gateway product vision, strategy, and roadmap

• Translate regulatory requirements into platform capabilities and backlog priorities

• Serve as primary point of contact for engineering, architecture, risk/compliance, and consuming teams

• Onboard new use cases, including LLM access via AWS Bedrock and GCP Gemini AI, MCP servers, and A2A agent-to-agent patterns

• Coordinate with engineering, architects, and the self-service portal team for a strong developer experience

• Define and track success metrics for adoption, governance coverage, and operational maturity

• Represent the platform in governance forums and provide leadership updates on coverage and roadmap progress

Requirements

• Proven experience as a Product Owner of a technical platform

• Experience with API management or gateway platforms (e.g., Kong, IBM API Connect/DataPower, Apigee, cloud gateways)

• Hands-on experience with LLM gateways or model/agent onboarding workflows

• Knowledge of agents, MCP, and A2A, and how to secure and govern them through a gateway across different clouds and cloud-native AI stacks

• Experience with AWS, GCP, or Azure and native AI stacks (e.g., Bedrock, Gemini AI)

• Agile delivery experience: backlog management, prioritization, sprint planning

• Strong stakeholder management skills across architecture, risk, compliance, and engineering teams

• BSc or MSc in relevant discipline or equivalent practical experience

Benefits

• Full-time permanent position with hybrid working (up to 40% remote possible; full remote not allowed)

• Opportunity to shape secure, compliant AI platform capabilities for a regulated banking environment