Business Analist D

Language: English and Dutch mandatory
ZZP allowed: No

Description

An experienced, strategic Business Analyst who can connect policy, risk, engineering, and emerging AI capabilities. The successful candidate combines rigorous requirements analysis with journey design, stakeholder facilitation, and systems thinking, turning complex compliance expectations into clear controls, evidence models, digital journeys, and actionable delivery backlogs.

Working across adherence squads and with stakeholders including CISO, policy and requirement owners, solution owners, and engineering teams, the Business Analyst ensures that compliance can be understood, implemented, and demonstrated through standard solutions, objective evidence, declarations, or formally approved deviations.

Experience and capabilities

1. Senior business analysis experience in regulated or technology-driven environments.
2. Strong requirements engineering, process modelling, and journey-design skills.
3. Experience translating risk and policy requirements into controls and technology requirements.
4. Effective stakeholder management and workshop facilitation.
5. Strategic systems thinking combined with attention to implementation detail.
6. Working knowledge of AI, evidence, controls, and software delivery.
7. Entrepreneurial, analytical, and collaborative approach.

Impact areas

1. Close the compliance loop
2. Analyse policy requirements and define the appropriate compliance conclusion.
3. Extract lessons learned and identify optimisation opportunities from mapped requirements, approved solutions, controls, assessment questions, and evidence.
4. Align stakeholders across relevant compliance, risk, security, and adherence functions.
5. Define four compliance pathways: proxy, evidence, trust, and deviation.
6. Define evidence requirements for non-standard solutions.
7. Determine evidence requirements when consumers choose non-standard solutions.
8. Gather and translate stakeholder needs into requirements, acceptance criteria, and decision points.
9. Assess risk-monitoring needs and identify gaps, dependencies, and governance issues.
10. Shape role-based adherence journeys
11. Design end-to-end journeys around the goals of engineers, solution owners, and other relevant roles.
12. Develop the engineer journey into practical micro-journeys, requirements, and work instructions.
13. Connect journeys across adherence and supporting solutions.
14. Validate ownership and hand-offs with adherence squads and support publication on the relevant platform.
15. Position adherence as an enabler of the Agentic SDLC
16. Define requirements for translating policies, controls, and requirements into machine-readable context.
17. Connect AI innovations to adherence processes and user journeys.
18. Maintain an AI-readiness backlog, use-case portfolio, and context catalogue.
19. Provide impact assessments and strategic recommendations.