Group AI UX Lead

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.

The opportunity:
Nemetschek is scaling a unified AI foundation and assistive experiences across its ecosystem via an AI & Data Innovation Hub led by experienced industry executives. The Group focuses on domain-aware AI that augments professionals and accelerates real-world workflows across planning, building, and operations.

What this role will do:
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.

What success looks like:
An adopted AI UX blueprint and pattern library used across brands, reducing time-to-value and improving consistency of AI experiences.

Evidence-backed discovery translating into prioritized bets and shipped, high-usage AI features with measurable productivity and satisfaction impact.

Improved user trust and control signals and lower intervention/override rates through iterative testing and refinement.

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.

Why Nemetschek:
Impact at portfolio scale: shape the AI UX layer for market-leading brands spanning the building lifecycle and creative industries.

Mission-driven AI: contribute to ethical, trustworthy AI that augments professionals in high-stakes workflows.

Global collaboration: work within a federated model supported by a unified AI foundation and Innovation Hub.