Business Analist -Agentic AI Platforms

Rabobank; Utrecht; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Rabobank in Utrecht is seeking a Technical Business Analyst to bridge business objectives and technical delivery for enterprise agentic AI solutions. You will translate business needs into clear, testable requirements and ensure identity, platform, security, risk, and operational considerations are addressed from discovery through implementation.

You will elicit and document requirements for AI use cases, translate outcomes into agent capabilities, and facilitate collaboration across business,

Qualifications

• Experience as a Business Analyst or Technical Business Analyst in complex enterprise delivery.
• Experience working across business and technical teams in agile or hybrid delivery.
• Strong requirements engineering and user journey mapping with measurable acceptance criteria.
• Understanding of authentication vs authorization, identity management, RBAC, SSO, and federation concepts.
• Knowledge of AI concepts, cloud platforms, APIs, IAM, security, and containerization.

Responsabilités

• Elicit, analyse, and document business, functional, and non-functional requirements.
• Translate outcomes into agent capabilities, user journeys, and acceptance criteria.
• Facilitate discussions with stakeholders, architects, engineers, and security teams.
• Assess AI agent interactions with systems, APIs, data sources, and processes.
• Support deployment considerations for containerized apps and Kubernetes.

Connaissances

Business analysis

Requirements engineering

Stakeholder management

Agile / Hybrid delivery

User journey mapping

AI concepts

Security IAM

Kubernetes

Outils

Kubernetes

APIs

IAM

Description du poste

Technical Business Analyst

Location: Utrecht, with hybrid working

Working hours: 36 hours per week

Language: English is required

About the role As a Technical Business Analyst, you will bridge business objectives and technical delivery for enterprise agentic AI solutions. You will translate business needs into clear, testable requirements and ensure identity, platform, security, risk, and operational considerations are addressed from discovery through implementation.

What you’ll do Elicit, analyse, challenge, and document business, functional, and non-functional requirements for agentic AI use cases. Translate business outcomes into agent capabilities and constraints, user journeys, process flows, and measurable acceptance criteria. Facilitate discussions across business stakeholders, product teams, architects, engineers, security specialists, and platform teams. Assess how AI agents will interact with enterprise systems, APIs, data sources, tools, and business processes. Capture and validate requirements for authentication, authorization, identity, RBAC, SSO, federation, and service access. Identify security, privacy, compliance, audit, logging, data-protection, and secrets-management considerations early in solution design. Evaluate dependencies, assumptions, constraints, gaps, risks, and operational impacts, maintaining end-to-end requirements traceability. Support architectural and delivery discussions on containerized applications, Kubernetes, scalability, availability, configuration, and deployment.

What you bring Demonstrable experience as a Business Analyst, Technical Business Analyst, or in a similar role within complex enterprise technology delivery. Experience working across business and technical teams in agile or hybrid delivery environments. Strong requirements engineering and user journey mapping skills. Experience defining functional requirements and measurable non-functional acceptance criteria, including security, performance, availability, scalability, and compliance. Strong facilitation, stakeholder management, written communication, analytical, and problem-solving skills. Experience with AI, cloud platforms, APIs, IAM, security, or containerized environments is strongly preferred. Experience in banking, financial services, or another highly regulated environment is an advantage.

Technical knowledge Agentic AI: Conceptual understanding of traditional AI, generative AI, copilots, chatbots, AI agents, agent runtimes and orchestration, tool calling, memory and context management, planning and reasoning, multi-agent systems, and human-in-the-loop patterns. Identity and access: Solid understanding of authentication and authorization, identity management, user and service identities, managed and application identities, external or federated identities, RBAC, group-based authorization, SSO, and federation. Platforms: High-level understanding of containerization, containers and virtual machines, images, registries, runtime environments, orchestration, and Kubernetes capabilities such as deployments, scaling, high availability, service discovery, configuration, and secrets. Security and risk: Awareness of security-by-design, handling sensitive and confidential data, IAM, data protection, secrets management, network security, audit and logging, common security anti-patterns, and financial-services regulatory expectations.

How you work You are a trusted bridge between business owners and technical specialists. You communicate technical concepts in business language and business intent in terms useful to engineering teams. You ask effective challenge questions, surface assumptions and risks, make trade-offs visible, and build shared understanding. You know when to involve architecture, security, risk, compliance, and platform specialists, without needing to be the solution architect or hands-on engineer.

What success looks like You turn business intent into implementable, traceable requirements. Agent capabilities and limitations are understood, access and security controls are explicit, and non-functional expectations are measurable—so delivery teams can move forward with fewer ambiguities, gaps, and late-stage surprises.

You must be based in the Netherlands and available for the full assignment. Self-employed (ZZP) and midlance arrangements are not permitted. A pre-employment screening is required; you may start only after successfully completing it.

Eisen

• The candidate must be proficient in English
• The candidate must live in the Netherlands
• The assignment is for 1 FTE, or 36 hours per week
• The candidate must be available for the entire duration of the assignment
• The candidate must successfully complete the pre-employment screening before starting
• The candidate must possess a valid passport or identity card that remains valid during the intake and on the contract start date and can be presented for verification
• The candidate must have demonstrable experience as a Business Analyst, Technical Business Analyst, or in a similar role in complex enterprise technology delivery
• The candidate must have experience working across business and technical teams in agile or hybrid delivery environments
• The candidate must have a proven ability to define functional requirements and measurable non-functional acceptance criteria
• The candidate must have strong facilitation, stakeholder management, written communication, analytical, and problem-solving skills
• The candidate must have a conceptual understanding of traditional AI, Generative AI, copilots, chatbots, AI agents, agent runtimes and orchestration, tool calling, memory and context management, planning and reasoning, multi-agent systems, and human-in-the-loop patterns
• The candidate must have a solid understanding of authentication versus authorization, identity management, user and service identities, managed and application identities, external or federated identities, RBAC, group-based authorization, SSO, and federation
• The candidate must have a high-level understanding of containerization, differences between containers and virtual machines, images, registries, runtime environments, orchestration, and Kubernetes capabilities such as deployments, scaling, high availability, service discovery, configuration, and secrets
• The candidate must have awareness of security-by-design, secure handling of sensitive and confidential data, IAM, data protection, secrets management, network security, audit and logging, common security anti-patterns, and financial-services regulatory expectations
• The candidate must have strong requirements engineering and user journey mapping skills, including defining functional and non-functional requirements covering security, performance, availability, scalability, and compliance and expressing them as measurable acceptance criteria
• The personal motivation must describe how the candidate meets the required competencies
• The candidate's CV and personal motivation must be in English
• Midlance employment constructions are not permitted under Rabobank policy

Gunningscriteria

• Experience with AI, cloud platforms, APIs, IAM, security, or containerized environments is strongly preferred
• Experience in banking, financial services, or another highly regulated environment is advantageous