Senior Lead Creative Technologist

Required Technical and Professional Expertise  

• Human-Centered Design: You have an expertise in applying human-centered design at a strategic level. You can not only execute design thinking techniques but also guide others in the team to ensure the end product genuinely resonates with users on a functional and emotional level.  

• Cross-disciplinary Collaboration: You lead cross-functional collaboration. You often act as the “glue” between different disciplines – facilitating communication between design, engineering, business, and even between our team and the client’s technical teams. Everyone stays aligned thanks to your ability to speak everyone’s language.  

• Innovation: You have a portfolio of projects that introduced new technology or novel interactions. You proactively explore the tech landscape for opportunities. For example, you might have implemented an industry-first use of a technology at a previous job, or you regularly prototype with experimental tech to assess its potential.  

• Rapid Prototyping: You can swiftly create everything from visual simulations to fully interactive prototypes that are nearly indistinguishable from a real product. Equally important, you can set up an environment for the team to prototype efficiently, possibly by establishing libraries, frameworks, or processes that accelerate prototyping cycles.  

• Human-in-the-Loop Patterns: You can design interaction patterns for approvals, escalation, rollbacks, and exception handling so agents act safely and users stay in control.  

• Feasibility Analysis: You have a deep skill in technical feasibility and risk assessment. You can map out the technical requirements of a visionary idea and identify what it would take to implement (time, resources, new skill sets, etc.). You anticipate challenges (scalability, performance, integration issues) and address them early  

• Storytelling: You craft presentations and narratives that not only explain a concept but inspire and rally support around a vision. As a result, stakeholders (from end-users in testing sessions to C-suite executives in readouts) are engaged and excited about the possibilities you present.  

• AI and Data Ethics: You lead by example in considering the ethical implications of design decisions, especially when they involve AI or user data. For instance, you ensure any AI features are transparent and fair, and you educate clients and team members about responsible AI and data practices. This includes responsible agentic AI patterns (tool permissioning, human-in-the-loop controls, auditability).  

• Tooling Standards & Governance (Scale): You can establish standards for agent tools (schema conventions, versioning, security review inputs, documentation) and align with AI engineers so open-source agent development integrates consistently across projects.  

• Experience Integration at Scale: You can set front-end integration patterns for agentic workflows (events/telemetry hooks, streaming, audit trails, and human-in-the-loop checkpoints) and ensure shipped experiences match intended design quality.  

• Quality at Scale: You can define team standards for evaluation, observability signals, and release readiness for agentic experiences moving from pilot to production.  
   

Preferred Professional and Technical Expertise  

• 8+ years of experience in roles involving creative technology, user experience, or digital innovation. You have led significant portions of projects and possibly managed other technologists or designers.   

• Demonstrated depth in one or more industry verticals or technology domains, which allows you to quickly contextualize solutions for specific business problems (e.g., you deeply understand healthcare tech and regulations, or you have expertise in automotive manufacturing user experience, etc.).  

• Experience in both enterprise-scale project delivery and design consulting. You can navigate corporate governance, security reviews, and large program structures, but you also know how to drive lean project delivery.  

• Strong knowledge of enterprise IT and architecture (e.g., cloud platforms, databases, APIs, security considerations) enabling you to design solutions that integrate well with clients’ ecosystems or to advise on technical architecture for prototypes.  

• Familiarity with organizational change management or DesignOps. At this level, you may be influencing not just the product but how the client organization adopts new tools or processes. Experience here helps ensure your solutions are actually embraced and implemented by the customer’s teams.  

• Advanced background in data science, AI/ML, or computational design is a plus. This could mean you’ve worked closely with data scientists, developed AI-driven prototypes, or otherwise can conceptually design and even build features that leverage data and ML.  

• Collaboration with Open-Source Agent Stacks: You can partner with AI engineers working in open-source agent runtimes and translate experience requirements into tool contracts, UI behaviors, and evaluation criteria without blocking engineering velocity.  

You may specialize more deeply in (at this level, you might be an expert for a specialization while still maintaining a broad skill set):  

• AI/ML/GenAI  

• Phygital Design  

• Connected Product/IoT  

• Mobile and Web + Front-End Architecture for Experience 

Required Education  

• Bachelor’s Degree in a relevant field (or equivalent demonstrable portfolio of work).  

Preferred Education  

• Advanced degree in a relevant field (e.g., MDM, MDes, MFA, d.MBA or equivalent MS in HCI, MBA with tech focus, PhD in a design or tech field) or equivalent continued education is a plus.