Business Analist -Agentic AI Platforms
- Plaats
- Utrecht, Utrecht
- Start
- 20 november 2026
- Looptijd
- 7 maanden
- Reageren tot
- 9 november 2026
- Werkplek
- Hybride
- Opdrachtgever
- Rabobank
- Gezien bij de bron
- vandaag 12:32
Kies je bemiddelaar
De Publieke Partner
Detachering| Tarief van het bureau | Niet vermeld |
| Fee | 14%, gaat van het tarief af (Fee 10% van je uurtarief (zzp); detachering 14%, of 10% als je de opdracht zelf aanbrengt. Kassiersmodel: je factureert aan De Publieke Partner, die int bij de opdrachtgever (30 dagen betaaltermijn).) |
| Reageren tot | open tot 9 nov |
| Transparantie |
Omschrijving
- 1 FTE;
- 36 hours per week;
- Language: English mandatory;
- Living in the Netherlands;
- ZZP allowed: No;
- The role may be closed before the stated portal deadline if a sufficient number of suitable candidates are received;
- Suppliers may submit only one candidate. If multiple candidates are submitted by the same supplier, all submitted candidates will be rejected;
- Please clearly indicate in the motivation field whether the candidate has any planned holidays and/or any special leave scheduled during the duration of this assignment;
Role Summary:
We are seeking a Technical Business Analyst to bridge business objectives and technical delivery for enterprise agentic AI solutions. The role translates business needs into clear, testable requirements while ensuring that identity, platform, security, risk, and operational considerations are addressed from discovery through implementation.
Key Responsibilities:
- Elicit, analyse, challenge, and document business, functional, and non-functional requirements for agentic AI use cases;
- Translate business outcomes into agent capabilities, 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 authentication, authorization, identity, RBAC, SSO, federation, and service-access requirements;
- Identify security, privacy, compliance, audit, logging, data-protection, and secrets-management implications early in solution design;
- Evaluate dependencies, assumptions, constraints, gaps, risks, and operational impacts, maintaining end-to-end requirements traceability;
- Support architectural and delivery discussions concerning containerized applications, Kubernetes, scalability, availability, configuration, and deployment;
Required 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 & Access:
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.
Platforms:
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.
Security & Risk:
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.
Requirements:
Strong requirements engineering and user journey mapping skills, including functional and non-functional requirements covering security, performance, availability, scalability, and compliance, expressed as measurable acceptance criteria.
Core Business Analysis Capabilities:
- Convert complex business objectives into structured, actionable, and testable requirements;
- Create clear user journeys and process flows linking people, systems, data, and technical capabilities;
- Communicate technical concepts in business language and business intent in terms useful to engineering teams;
- Apply critical thinking to challenge ambiguity, surface hidden assumptions, and resolve conflicting requirements;
- Maintain traceability from business need through requirements, acceptance criteria, delivery, and validation;
- Recognize when specialist input is required and engage architecture, security, risk, compliance, and platform stakeholders proactively;
Experience & Qualifications:
- Demonstrable experience as a Business Analyst, Technical Business Analyst, or similar role in complex enterprise technology delivery;