De opdracht
Zoekopdracht
PosID : P_00212160
Language : English mandatory
ZZP Allowed : No
TECHNICAL BUSINESS ANALYST Agentic AI Platforms | Enterprise Technology | Financial Services
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[1]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.
Experience working across business and technical teams in agile or hybrid delivery environments.
Proven ability to define functional requirements and measurable non-functional acceptance criteria.
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.
Strong facilitation, stakeholder management, written communication, analytical, and problem-solving skills.
STAKEHOLDER COLLABORATION
The Technical Business Analyst acts as a trusted bridge between business owners and technical specialists. The role is expected to participate confidently in solution discussions, ask effective challenge questions, make risks and trade-offs visible, and build shared understanding without needing to be the solution architect or hands-on engineer.
SUCCESS PROFILE Success means that business intent is converted into implementable, traceable requirements; agent capabilities and limitations are understood; access and security controls are explicit; non-functional expectations are measurable; and delivery teams can proceed with fewer ambiguities, gaps, and late[1]stage surprises.
PosID : P_00212160
Language : English mandatory
ZZP Allowed : No
TECHNICAL BUSINESS ANALYST Agentic AI Platforms | Enterprise Technology | Financial Services
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[1]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.
Experience working across business and technical teams in agile or hybrid delivery environments.
Proven ability to define functional requirements and measurable non-functional acceptance criteria.
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.
Strong facilitation, stakeholder management, written communication, analytical, and problem-solving skills.
STAKEHOLDER COLLABORATION
The Technical Business Analyst acts as a trusted bridge between business owners and technical specialists. The role is expected to participate confidently in solution discussions, ask effective challenge questions, make risks and trade-offs visible, and build shared understanding without needing to be the solution architect or hands-on engineer.
SUCCESS PROFILE Success means that business intent is converted into implementable, traceable requirements; agent capabilities and limitations are understood; access and security controls are explicit; non-functional expectations are measurable; and delivery teams can proceed with fewer ambiguities, gaps, and late[1]stage surprises.
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