About Nemetschek Group
Nemetschek Group is a global software leader for the AEC/O and Media industries, operating a federated portfolio of brands used by millions worldwide and known for championing open standards and sustainable, human-centered innovation. The Group is headquartered in Munich.

QUALIFICATIONS:

8+ years in UX with leadership of complex research programs and service/experience blueprinting in multi-product environments.
3+ years applying UX to AI/ML, automation, or data-rich workflows; enterprise or regulated context experience is a plus.
Portfolio showing end-to-end discovery, journey maps, service blueprints, pattern libraries, and shipped features at scale.
Strong first principles & systems thinking across user, data, model, interface, policy, and operations; ability to drive measurable decisions from ambiguity.
Fluency with research and design methods, prototyping, and comfort with analytics/experimentation.
Excellent facilitation and storytelling to align cross-functional partners and executives.

Lead customer discovery to identify, validate, and prioritize high-impact AI use cases and interaction patterns across multiple products and user segments in AEC/O.
Translate insights into an enterprise AI UX blueprint covering canonical flows, trust and safety guardrails, explainability, feedback loops, and service touchpoints.
Codify reusable interaction patterns (assist, generate, summarize, automate), human-in-the-loop moments, error recovery, and escalation to enable consistent delivery across brands.
Design and run mixed-method research programs (interviews, contextual inquiry, usability/benchmark tests, surveys/telemetry) tied to product and business outcomes.
Partner with product, design, data science, engineering, and risk/compliance to align feasibility, data/model constraints, governance, and staged rollouts.
Define UX and business KPIs for AI features (adoption, task success, time-to-value, intervention rates, trust and control signals) and operationalize continuous improvement.
Mentor and enable a matrixed community of designers/researchers; drive design reviews to ensure alignment with the AI UX blueprint and standards.
Communicate insights, decisions, and roadmap implications to executives; champion human-centered and ethical AI across the portfolio.