Lead Consultant (AI & UX)

BASIL TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Basil Technologies Pte. Ltd. seeks a Strategic AI & UX Leader to shape the design vision for complex AI-powered products across client engagements. You will define standards, conduct strategic research, and influence roadmaps with data-driven insights.

Advanced AI/ML integration, data strategy leadership, and expert UX design will be expected. Collaborate with data scientists and cloud architects to deliver scalable AI experiences.

Qualifications

• AI/ML-powered product design leadership experience.
• Experience with enterprise-scale design projects.
• Understanding of AI concepts, ethics, and governance.
• Proficiency with design tools and user research methods.

Responsibilities

• Lead design vision and strategy for AI-powered products across client engagements.
• Define design standards, frameworks, and best practices for AI UX.
• Conduct strategic design research to identify user needs and opportunities.
• Provide thought leadership on AI-UX integration across sectors.
• Influence product roadmaps with data-driven design insights.
• Architect AI-driven features with data scientists and ML engineers.
• Design explainable AI interfaces that build user trust.
• Lead end-to-end design processes for enterprise-scale projects.

Skills

AI/UX leadership

Stakeholder influence

Design leadership

User research

MLOps concepts

Cross-functional collaboration

Data storytelling

Education

Bachelor’s or Master’s in Design/CS/AI

Tools

Figma

Sketch

Adobe Creative Suite

Prototyping tools

Job description

Strategic AI & UX Leadership

• Lead the design vision and strategy for complex AI-powered products and platforms across multiple client engagements to drive innovation and business growth
• Define and evolve design standards, frameworks, and best practices for AI-driven user experiences to ensure consistency and excellence
• Conduct strategic design research to identify emerging user needs and market opportunities in the AI space, informing product direction
• Provide thought leadership on AI-UX integration and its application across industry sectors to influence future design trends
• Influence product roadmaps and business strategy through data-driven design insights and recommendations

Advanced AI & Machine Learning Integration

• Architect sophisticated AI-driven features and functionalities that deliver measurable business value and exceptional user experiences
• Collaborate with data scientists, ML engineers, and technical architects to design scalable AI solutions aligned with user needs
• Evaluate and optimize AI model performance from a UX perspective, balancing technical capabilities with user expectations
• Design transparent, explainable AI interfaces that build user trust and understanding

Data Strategy, Analytics & Insights Leadership

• Lead the definition and execution of data strategies underpinning AI-powered products and services across client engagements
• Partner with data scientists, data engineers, and analytics teams to align data pipelines, models, and insights with user and business needs
• Translate complex datasets, model outputs, and analytics into clear, actionable insights that inform design decisions and product strategy
• Define data-driven success metrics, KPIs, and experimentation frameworks to measure AI effectiveness, user trust, and business impact
• Guide teams in leveraging quantitative and qualitative data to validate assumptions, prioritize features, and optimize user experiences
• Evaluate data quality, bias, and representativeness to ensure responsible and trustworthy use of data in AI-driven experiences
• Champion human-in-the-loop and data transparency practices, designing workflows that enable users to understand, challenge, and act on AI insights

Expert User Experience Design

• Lead end-to-end design processes for enterprise-scale projects, from discovery through delivery, ensuring high-quality outcomes
• Conduct and oversee comprehensive user research programs to gather actionable user insights
• Create sophisticated design artifacts including service blueprints, experience maps, design systems, and interactive prototypes
• Design complex, multi-platform experiences integrating AI capabilities across web, mobile, and emerging interfaces
• Oversee the design of data-rich user interfaces such as dashboards, analytics tools, and decision support systems for enterprise users

Cross-Functional Leadership & Collaboration

• Lead design thinking workshops, innovation sprints, and co-creation sessions with diverse stakeholders including C-suite executives
• Collaborate with product managers and business leaders to define product vision, strategy, and success metrics
• Bridge technical and business stakeholders by translating complex requirements into elegant design solutions

Responsible AI & Ethical Design

• Champion ethical AI practices and responsible design principles throughout all projects
• Identify and mitigate fairness, bias, privacy, and transparency issues in AI-driven experiences proactively
• Ensure compliance with regulatory requirements and industry standards in all design work
• Advocate for user rights, data privacy, and inclusive design across the organization
• Establish governance frameworks for ethical AI design practices

Google AI & Cloud AI Leadership

• Lead the design and delivery of AI solutions leveraging Google Cloud AI platforms, including Vertex AI, AutoML, and managed machine learning services
• Drive adoption of Google Generative AI capabilities (e.g., large language models, embeddings, conversational AI) to create scalable, enterprise-ready user experiences
• Partner with data scientists, ML engineers, and cloud architects to architect end-to-end AI workflows on Google Cloud, from data ingestion to model deployment and monitoring
• Define use cases and solution patterns balancing custom models and Google-managed AI services considering scalability, cost, performance, and risk
• Guide teams on MLOps best practices on Google Cloud, including model training, versioning, deployment, monitoring, and lifecycle management
• Ensure AI solutions on Google Cloud adhere to responsible AI, privacy, and security principles including explainability, fairness, and transparency
• Collaborate with client stakeholders to align Google AI capabilities with business strategy, regulatory requirements, and digital transformation roadmaps
• Evaluate and experiment with emerging Google AI services and features, translating platform advancements into practical enterprise use cases
• Provide technical and strategic leadership in designing AI-powered products integrating Google Cloud data services (e.g., BigQuery, analytics platforms)
• Support pre-sales and client engagements by shaping Google AI solution architectures, proposals, and value cases

Required competencies and certifications

• Bachelor’s or Master’s degree in Design, Human-Computer Interaction, Computer Science, AI/ML, or related field
• Minimum 3-5 years focused on AI/ML-powered products with at least 3 years of professional UX consulting experience
• Proven track record of leading complex, enterprise-scale design projects from concept to launch
• Deep understanding of AI/ML concepts, capabilities, limitations, and ethical considerations
• Expert proficiency in industry-standard design tools such as Figma, Sketch, Adobe Creative Suite, and prototyping tools
• Extensive experience with qualitative and quantitative user research methodologies
• Strong background designing for multiple platforms including web, mobile, conversational interfaces, and dashboards
• Demonstrated ability to influence product strategy and drive design-led innovation
• Exceptional communication, presentation, and stakeholder management skills, including experience influencing senior executives and C-level stakeholders
• Familiarity with Agile and Design Thinking methodologies
• Understanding of business metrics, KPIs, and how design drives business outcomes
• Familiarity with data governance, privacy, and regulatory requirements (e.g., PDPA, GDPR-aligned practices) in AI and analytics contexts
• Hands-on experience defining and tracking data-driven KPIs, success metrics, and experimentation frameworks for AI initiatives
• Strong understanding of data analytics, statistics, and applied machine learning concepts relevant to AI-powered products and services
• Experience designing or delivering AI solutions using Google Cloud AI services such as Vertex AI, AutoML, and managed ML platforms
• Familiarity with Google’s Generative AI capabilities (e.g., foundation models, LLMs, embeddings, conversational AI) and their application in enterprise products and services
• Hands-on experience integrating AI solutions with Google Cloud data services (e.g., BigQuery, data pipelines, analytics platforms) to support end-to-end AI workflows
• Strong understanding of MLOps concepts on Google Cloud including model training, deployment, monitoring, and lifecycle management
• Strong understanding of Google AI APIs for vision, natural language, speech, recommendation, or search use cases