Lead Consultant

Elliott Moss Consulting; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Elliott Moss Consulting seeks a Lead Consultant – AI & UX to steer strategic UX design and AI-driven product innovation across enterprise engagements. You will lead AI-driven UX strategy, design vision, and responsible AI practices, collaborating with data scientists, cloud architects, and executives.

You will define data strategies, KPIs, and experimentation frameworks to measure UX impact, while translating complex analytics into user-friendly, business-focused solutions.

Qualifications

• 3+ years focused on AI/ML-powered products and at least 3 years of UX consulting experience.
• Proven experience leading enterprise-scale design projects with measurable business impact.
• Strong portfolio demonstrating tangible business outcomes and user value.

Responsibilities

• Lead AI-driven UX strategy and design across complex enterprise projects.
• Oversee end-to-end UX design including research, journey mapping, design systems, and interactive prototypes.
• Design explainable AI-powered experiences across web, mobile, and dashboards.
• Collaborate with data scientists, ML engineers, cloud architects, and product leaders to deliver AI solutions.
• Define data strategies, KPIs, experiments, and success metrics for UX and business impact.
• Translate analytics and AI outputs into actionable, user-centric insights.
• Guide AI solution design using Google Cloud AI services (Vertex AI, AutoML, Generative AI, LLMs).
• Integrate AI with BigQuery and data pipelines; ensure governance and responsible AI practices.
• Provide strategic consulting, run design-thinking workshops, and influence roadmaps.

Skills

AI/ML-powered products

UX consulting

Stakeholder management

Design thinking

Agile

C-level communication

PDPA/GDPR awareness

Education

Bachelor’s or Master’s degree in Design, HCI, CS, or AI/ML

Tools

Figma

Sketch

Adobe Creative Suite

Prototyping tools

Job description

We are seeking a Lead Consultant – AI & UX to lead strategic UX design and AI-driven product innovation across enterprise client engagements. The role combines advanced UX leadership, AI/ML integration, data-driven decision-making, and Google Cloud AI expertise to deliver scalable, responsible, and business-focused digital experiences.

Key Responsibilities

• Lead AI-driven UX strategy, design vision, and innovation across complex enterprise projects.
• Drive end-to-end UX design, including user research, journey mapping, service blueprints, design systems, and interactive prototypes.
• Design intuitive, transparent, and explainable AI-powered experiences across web, mobile, conversational interfaces, and enterprise dashboards.
• Collaborate with data scientists, ML engineers, cloud architects, product managers, and business leaders to deliver scalable AI solutions.
• Define data strategies, KPIs, experimentation frameworks, and success metrics to measure user experience and business impact.
• Translate complex data, analytics, and AI model outputs into actionable insights and user-centric solutions.
• Lead AI solution design using Google Cloud AI services, including Vertex AI, AutoML, Generative AI, LLMs, embeddings, and conversational AI.
• Integrate AI solutions with Google Cloud data services, including BigQuery and data pipelines.
• Guide responsible AI practices, including fairness, explainability, privacy, transparency, accessibility, and data governance.
• Provide strategic consulting, facilitate design-thinking workshops, influence product roadmaps, and support client proposals and solution architecture.

Required Qualifications

• Bachelor’s or Master’s degree in Design, HCI, Computer Science, AI/ML, or a related discipline.
• 3+ years of experience focused on AI/ML-powered products and at least 3 years of professional UX consulting experience.
• Proven experience leading enterprise-scale design projects from discovery to launch, supported by a strong portfolio demonstrating measurable business impact.
• Expert proficiency in Figma, Sketch, Adobe Creative Suite, and prototyping tools.
• Strong expertise in user research, interaction design, design systems, data visualization, and multi-platform UX.
• Solid understanding of AI/ML concepts, applied analytics, statistics, model limitations, and responsible AI principles.
• Hands-on experience with Google Cloud AI services, particularly Vertex AI, AutoML, Generative AI, and managed ML platforms.
• Experience integrating AI solutions with BigQuery, data pipelines, and analytics platforms.Understanding of MLOps, including model deployment, monitoring, versioning, and lifecycle management.
• Familiarity with Google AI APIs for vision, natural language, speech, recommendation, or search.
• Experience defining data-driven KPIs, success metrics, and experimentation frameworks for AI initiatives.
• Strong stakeholder management, presentation, and communication skills, including engagement with C-level executives.
• Knowledge of Agile, Design Thinking, data governance, and privacy requirements such as PDPA and GDPR-aligned practices.