Lead Consultant

Job Description 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.