Technical Business Analyst — Enterprise AI & MLOps Platform
Bekijk en reageer bij IQ Staffing (externe link)
Technical Business Analyst for an Enterprise AI & MLOps platform at a large financial organisation, 36 hours per week.
- Uren
- 36 uur per week
- Contractvorm
- detachering
- Gepubliceerd
Eisen
- A good working understanding of data, analytics and AI concepts
- Comfort working with security, risk and compliance requirements
- Familiarity with Databricks, orchestration tools, model development, model governance and data storage practices
- Experience in a Scrum-based DevOps team, supporting backlog prioritisation and roadmap development
- Strong communication, stakeholder management and information-analysis skills
- Intermediate Azure infrastructure knowledge: resources, pipelines, repositories, subscriptions
Wensen
- Exposure to agentic AI and Azure AI Foundry
- A background in financial services or another regulated environment
Omschrijving
Technical Business Analyst — Enterprise AI & MLOps Platform. A business analyst role for someone genuinely technical, sitting between data scientists and AI teams wanting to get models into production and the engineers building the platform. Responsibilities include turning 'we need this' into requirements, processes and a backlog; pushing the platform's security, risk and compliance controls forward; promoting the platform and guiding new users through onboarding. The client is a large financial organisation, and the platform hosts machine learning, AI and agentic workloads in production on Azure — batch and real-time model serving, model management, secure storage and integration with data sources. Users are hundreds of data scientists, model developers and AI teams across the organisation. You'd work as part of one technical team alongside engineers, product owner, business stakeholders and senior management. Key activities: get to the question behind the request and turn it into technical requirements, processes and action plans; strengthen security, risk and compliance position; support product owner on vision, roadmap, priorities and backlog; promote platform internally; guide new users through onboarding; explore emerging technology (agentic AI, Azure AI Foundry). Technical ground core: Azure infrastructure (resources, pipelines, repositories, subscriptions), Databricks, model serving, model governance, data & AI concepts. Also in the mix: orchestration tooling, data storage practices, agentic AI, Azure AI Foundry, Scrum and DevOps. Must-haves: good working understanding of data, analytics and AI concepts; intermediate Azure infrastructure knowledge; familiarity with Databricks, orchestration tools, model development, model governance and data storage practices; experience in a Scrum-based DevOps team supporting backlog prioritisation and roadmap development; comfort with security, risk and compliance; strong communication, stakeholder management and information-analysis skills. Nice to have: exposure to agentic AI and Azure AI Foundry; background in financial services or regulated environment. Good to know: 36 hours per week; pre-employment screening; valid EU work permit or right to work in the Netherlands. Employment type: temp-to-perm.
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