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Group AI UX Lead (m/f/d)

Nemetschek Group

Deutschland

Vor Ort

EUR 70.000 - 90.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

Zusammenfassung

A global software company is seeking a UX Lead to shape the AI experience across multiple product lines. This role involves leading discovery efforts, translating insights into actionable designs, and collaborating with teams to improve user experiences. The ideal candidate has 8+ years in UX leadership, particularly in AI/ML contexts, and a strong portfolio demonstrating their impact. This position offers the chance to make significant contributions in ethical AI development.

Qualifikationen

  • 8+ years in UX with leadership of complex research programs.
  • 3+ years applying UX to AI/ML, automation, or data-rich workflows.
  • Portfolio showing end-to-end discovery and shipped features.

Aufgaben

  • Lead customer discovery to identify and prioritize AI use cases.
  • Translate insights into an enterprise AI UX blueprint.
  • Design and run mixed-method research tied to product outcomes.

Kenntnisse

UX leadership in multi-product environments
UX applied to AI/ML workflows
Strong systems thinking
Fluency with research and design methods
Excellent facilitation and storytelling
Jobbeschreibung
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.
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