UX Designer

Randstad Technologies Recruitment; City Of London; Sur place; GBP 90 000 - 150 000; Plein temps

Résumé du poste

Randstad Technologies Recruitment in London seeks an experienced Lead UX Designer & AI Product Strategist to spearhead modernization of complex enterprise financial and operational workflows.

You will operate at the intersection of enterprise service design, AI strategy, and user-experience architecture, leading end-to-end transformation of high-volume cycles with autonomous AI agents. Collaboration spans Engineering, Data Science, and Operations to deliver trustworthy, scalable workflows.

Qualifications

• Experience in service and interaction design for enterprise-scale systems.
• Ability to scope AI-enabled product features and MVPs for autonomous workflows.
• Proven ability to lead multi-disciplinary teams and align stakeholders.

Responsabilités

• End-to-end workflow optimization of complex enterprise processes.
• Define AI opportunities and scope MVPs with operational control in mind.
• Establish evaluation loops for AI performance beyond baseline accuracy (precision, recall, calibration, robustness).
• Design trusted interfaces with human-in-the-loop and clear confidence indicators.
• Collaborate with data engineers to ensure governance, bias mitigation, and regulatory compliance.

Connaissances

UX Design

AI Product Strategy

Human-in-the-Loop UX

Leadership

Stakeholder Management

Description du poste

We are seeking an experienced Lead UX Designer & AI Product Strategist to spearhead the modernization of 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.