Lead Consultant (AI & UX)

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 method…