Company Description
NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group
Job Description
We are seeking a talented AI Consultant Lead to join us. This role uniquely blends deep artificial intelligence expertise with advanced human-centred design thinking to create intelligent, intuitive, and impactful digital experiences at scale. You'll lead design initiatives at the intersection of cutting-edge AI technology and user experience, ensuring our AI-powered solutions are not only technically robust but also delightful, accessible, and strategically aligned with business objectives.
What you will do
Strategic AI & UX Leadership
- Lead the design vision and strategy for complex AI-powered products and platforms across multiple client engagements
- Define and evolve design standards, frameworks, and best practices for AI-driven user experiences
- Conduct strategic design research to identify emerging user needs and market opportunities in the AI space
- Provide thought leadership on the future of AI-UX integration and its application across industry sectors
- 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
- Partner closely with data scientists, ML engineers, and technical architects to design scalable AI solutions
- 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 that underpin 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, product strategy, and roadmaps
- 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, ensuring responsible and trustworthy use of data in AI-driven experiences
- Champion human-in-the-loop and data transparency practices, designing workflows where users can 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
- Conduct and oversee comprehensive user research programs
- Create sophisticated design artifacts including service blueprints, experience maps, design systems, and interactive prototypes
- Design complex, multi-platform experiences that seamlessly integrate AI capabilities across web, mobile, and emerging interfaces
- Oversee the design of data-rich user interfaces, including 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 various stakeholders, including C-suite
- Collaborate with product managers and business leaders to define product vision, strategy, and success metrics
- Bridge technical and business stakeholders, translating complex requirements into elegant design solutions
Responsible AI & Ethical Design
- Champion ethical AI practices and responsible design principles
- Proactively identify and mitigate fairness, bias, privacy, and transparency issues in AI-driven experiences
- Ensure compliance with regulatory requirements and industry standards across all design work
- Advocate for user rights, data privacy, and inclusive design throughout 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 the 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 that balance 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 built on Google Cloud follow 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 that integrate 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
Qualifications
- Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, AI/ML, or related field
- At least 3-5 years focused on AI/ML-powered products, with 3 years of professional UX consultant experience.
- Proven track record of leading complex, enterprise-scale design projects from concept to launch
- Comprehensive portfolio demonstrating strategic thinking, design process excellence, and measurable business impact
- Deep understanding of AI/ML concepts, capabilities, limitations, and ethical considerations
- Expert proficiency in industry-standard design tools (Figma, Sketch, Adobe Creative Suite, prototyping tools)
- Extensive experience with user research methodologies, both qualitative and quantitative
- Strong background in designing for multiple platforms (web, mobile, conversational interfaces, dashboards)
- Demonstrated ability to influence product strategy and drive design-led innovation
- Exceptional communication, presentation, and stakeholder management skills
- Experience presenting to and 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.
Additional Information
We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.
Scam Alert
We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.
Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at reachus@ncs.com.sg.