#EG AI Consultant Lead

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 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…