IT & AI Adoption Specialist (m/f/d) Job Berlin Germany 2026

Are you someone who makes digitalization truly tangible? Do you have the rare ability to bridge the gap between cutting-edge technology and the people who need to use it every day? A fast-growing corporate group in Berlin, Germany is searching for an IT & AI Adoption Specialist (m/f/d) who can connect people, processes, and digital platforms — ensuring that every tech investment actually sticks.

Role at a Glance – IT & AI Adoption Specialist (m/f/d)

  • Role Title: IT & AI Adoption Specialist (m/f/d)
  • Location: Berlin, Berlin, Germany
  • Contract: Permanent | Full-Time
  • Salary: Performance-based compensation — competitive, linked to impact
  • Work Model: Flexible hybrid — modern equipment provided
  • Focus Areas: AI adoption, change management, user training, digital transformation
  • Industries: Building services engineering (BSE), HVAC, electrical engineering, and wider corporate group
  • Languages Required: Excellent German (C1+) + Good English (B2+)
  • Start Date: As soon as possible — 2026

 Your Mission — Making Digitalization Real, Not Just Theoretical

This role exists at the intersection of technology and humanity. Digital transformation only succeeds when real people genuinely adopt and embed new ways of working — and that’s exactly where you come in. Working alongside IT teams, management, and frontline employees across the group’s operating companies, you will ensure that every digital solution — from AI tools to enterprise platforms — is not just switched on, but truly embraced and used sustainably.

You’ll support companies through the human side of change: empowering employees, breaking down resistance, building digital confidence, and fostering a culture where innovation is welcomed, not feared. Your work directly determines the ROI of the group’s entire digitalization agenda.

Key Responsibilities

AI Use Case Development & User Adoption

  • Identify new AI potential and opportunities across the group’s operating companies in partnership with IT and business leaders
  • Develop and implement comprehensive user adoption and change management concepts for AI use cases, new systems, and digital platforms
  • Drive sustainable establishment of new digital ways of working from rollout through to long-term embedment
  • Support AI tool onboarding — including generative AI, automation tools, and enterprise AI platforms — ensuring confident, compliant usage

Training, Workshops & Learning Content Creation

  • Plan, organise, and deliver engaging training courses, workshops, and interactive sessions for employees at all levels
  • Create practical learning content — user manuals, e-learning modules, quick-reference guides, and video tutorials — tailored to each audience
  • Design communication materials that make complex technical topics accessible, practical, and motivating
  • Build train-the-trainer frameworks so adoption scales across the group efficiently

Digital Champion Network & Key User Community

  • Build and maintain a group-wide network of key users and digital champions across all operating companies
  • Collaborate closely with specialist departments to integrate new digital ways of working into daily operations
  • Facilitate knowledge exchange between companies to accelerate adoption and share best practices
  • Moderate communities of practice and best-practice networks to keep digital momentum alive post-launch

Adoption Analytics, Dashboards & Reporting

  • Develop and maintain adoption dashboards tracking key metrics: usage rates, training completion, user satisfaction, and business impact
  • Analyse user feedback and acceptance metrics to identify friction points and optimisation opportunities
  • Continuously improve the user experience of digital solutions based on data-driven insights
  • Produce regular reports for senior leadership on digitalization initiative success and adoption progress

Change Management & Continuous Improvement

  • Moderate communities and best-practice sharing networks to measure the success of digitalization initiatives
  • Derive targeted improvement measures to increase sustained usage of implemented digital solutions
  • Conduct change readiness assessments and stakeholder impact analyses ahead of major technology rollouts
  • Champion an open, collaborative digital culture guided by the group’s core values of quality, diversity, and mutual respect

Position Overview

Employer

Fast-growing corporate group — building services engineering sector

Location

Berlin, Berlin, Germany

Salary

Performance-based — competitive, impact-linked compensation

Contract

Permanent — Full-Time

Work Model

Flexible hybrid — modern equipment provided

Focus

AI adoption, change management, digital transformation

Required Qualifications

Essential Requirements

  • ✅ Successfully completed degree in Business Informatics, Computer Science, Business Administration, or a comparable qualification
  • ✅ Proven professional experience in IT adoption, change management, digital workplace, IT training, or IT project management
  • ✅ Excellent German language skills (spoken and written) — C1 or higher
  • ✅ Good English language skills (spoken and written) — B2 or higher
  • ✅ Genuine enthusiasm for digitalization, AI, and modern workplace technologies
  • ✅ Strong communication, presentation, and moderation skills with proven ability to explain technical topics to non-technical audiences
  • ✅ Structured, independent, and solution-oriented working style with strong service orientation
  • ✅ Right to work in Germany — Germany residents and eligible EU/EEA citizens

Desirable

  • Experience in the building services engineering (BSE) sector — electrical engineering, HVAC, or comparable technical environment
  • Hands-on experience with AI adoption frameworks (Copilot, generative AI tools, automation platforms)
  • Familiarity with adoption analytics tools, LMS platforms, or digital adoption platforms (DAP)
  • Experience building key user / digital champion networks in a multi-site corporate environment
  • Prior exposure to Mittelstand or multi-company group structures in Germany

About the Employer – Innovation-Driven Corporate Group in Germany

This rapidly growing corporate group operates across the building services engineering (BSE) sector, bringing together companies specialising in electrical engineering, HVAC, and related technical disciplines under one unified strategic vision. Guided by the principle that “skilled craftsmanship is our most important contribution to sustainability,” the group is actively reimagining how traditional industries embrace the digital age.

With a flat hierarchy, short decision-making processes, and an open corporate culture built on personal responsibility, diversity, equal opportunities, and mutual respect, this is an employer where individuals are genuinely empowered to make a difference. The group is now at a pivotal moment in its digital transformation journey — investing significantly in AI adoption, modern platforms, and building a workforce that is genuinely digital-confident. This IT & AI Adoption Specialist role sits at the very heart of that ambition.

Who Should Apply?

This role is ideal for:

  • Change management professionals with a strong IT or digital transformation background ready for a group-level impact role
  • IT trainers, digital workplace consultants, or adoption managers looking for a permanent, high-visibility position in Berlin
  • Business informatics or computer science graduates with 2+ years of hands-on change management experience
  • AI enthusiasts who want to translate AI use cases into real employee behaviour change across multiple companies
  • Professionals from the BSE, HVAC, or electrical engineering sectors with a passion for digitalization
  • Bilingual (German/English) communicators with excellent training design and facilitation skills

Important: This position is open to Germany residents and eligible EU/EEA citizens with the unrestricted right to work in Germany. Candidates must hold excellent German language proficiency (C1+) as a minimum.

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