UX Designer
complex enterprise financial and operational workflows. Operating at the intersection of enterprise service design,
AI product strategy, and user experience architecture, you will lead the end-to-end transformation of high-volume
financial cycles (contract execution, invoicing, cash application, and exception resolution).
In this senior advisory role, you will collaborate with cross-functional leadership-spanning Engineering, Data
Science, and Operations-to design trustworthy, intelligent, and scalable workflows powered by autonomous AI
agents.
Key Responsibilities
End-to-End Workflow Optimization: Analyze existing enterprise process lifecycles, identify operational
bottlenecks, and design streamlined human-AI collaborative workflows.
AI Product Strategy & Feature Scoping: Define user-centered AI opportunities, balance innovation with
operational control, and scope progressive MVPs for autonomous workflows.
Agentic Evaluation & Feedback Loops: Establish continuous monitoring mechanisms and evaluation
frameworks beyond baseline accuracy (including precision, recall, calibration, and robustness metrics).
Human-in-the-Loop & Trust Design: Design confidence-based interfaces, exception handling patterns, and
transparent AI explainability mechanisms to build operational trust.
Data Governance & Ethical AI: Partner with data engineers to safeguard against dataset leakage, data drift, and
historical bias, while ensuring compliance with regulatory frameworks (GDPR, EU AI Act).
Visual Design & Systems Thinking: Maintain master-level visual craftsmanship across hierarchy, typography,
and interactive components to expand enterprise design systems.
Cross-Functional Leadership: Guide multi-disciplinary project teams, align key business stakeholders, and make
strategic technical-experience trade-off decisions.
Core Competencies & Expected Mastery
Service & Interaction Design Mastery in Visual Design, Typography, Complex Workflow
Prototyping, and Enterprise Design Systems.
AI Product Management Expertise in scoping AI MVPs, Human-in-the-Loop UX,
confidence indicators, and model transparency.
Evaluation & Metrics Strategy Proficiency in designing evaluation pipelines beyond
accuracy (precision, recall, calibration, robustness, false positive impact).
Data Strategy & Governance Deep understanding of data labeling, data drift, algorithmic
bias mitigation, and compliance frameworks (GDPR, EU AI Act).
Leadership & Advisory Demonstrated track record in cross-functional alignment,
stakeholder management, and strategic decision-making.
Randstad Technologies is acting as an Employment Business in relation to this vacancy