Required skills
- Transformation Programs
- Enablement Programs
- Data Initiatives
- AI Initiatives
- GenAI Initiatives
- Competency Building
- Change Management
- Learning Path Development
- Adoption Measurement
- Knowledge Transfer
- Workshop Moderation
- AI Governance
Languages: German
Job description
Seeking a Senior IT Consultant to lead the organizational-wide development of GenAI competencies, focusing on secure and compliant AI implementation, qualification, and practical use-case development.
Project overview
Application/Offer Deadline October 13, 2026, 2:00 PM
Contract Type: Service Project. Clarify employment type/freelancer admissibility and supply chain before submission.
Bundle Request: 1/6
__
Project Framework Conditions
Project details
Frankfurt am Main; possibly other locations in Germany
October 19, 2026 – December 31, 2027; approx. 14.42 months
Scope: 195 PT of which 175 remote, 20 onsite = 89.74% remote
Utilization: Average approx. 3.11 days/week
Language: German native speaker C2
Onshore: Germany
Conditions – Mandatory Information for Candidates:
For further processing of your application, this information is mandatory: Please state your desired billing method and your hourly or daily rate, separated for remote and onsite. Also indicate whether travel expenses are included or will be charged separately. If charged separately, please state the amount or the basis for calculation.
1.1 Project/Process Context
Organizational-wide development of GenAI competencies in the consulting environment: secure, compliant AI use, qualification, and practical use-case development. Interdisciplinary groups evaluate potentials and business cases, create implementation roadmaps, and permanently anchor AI competencies.
1.2 Project Structure
Central program management controls planning, goals, and communication. Sub-projects: Qualification/competency building and use-case identification/development. Cross-functional working groups with functional leadership; external specialists as needed. Sequential phases according to competency level with milestones; regular communication at management, steering, and operational levels.
3.1. Scope
Independently and self-organized: analyze maturity level, needs, and environment; develop organizational target images and implementation concepts. Evaluate change/adoption requirements, stakeholders, impacts, and acceptance risks. Design communication/participation concepts and role-specific learning paths; address cultural/process-related barriers. Moderate workshops; consider governance, data protection, compliance, and co-determination. Create roadmaps, KPIs, and qualitative/quantitative effectiveness analyses.
Recommend decisions; design scalable AI/Copilot/Agent working methods and document results in an auditable manner.
4.1 Must-Have Requirements - 100% mandatory to fulfill
4.2 Should-Have Requirements
- Conditions / Billing Method (Hourly or Daily Rate)
- Hourly Rate Remote (EUR/hour) and Hourly Rate Onsite (EUR/hour)
- Or Daily Rate Remote (EUR/day) and Daily Rate Onsite (EUR/day)
- Travel Expenses
- M1: Experience in the conception of transformation or enablement programs for the sustainable empowerment of organizational units — Senior (> 5 years of experience)
- M2: Experience in Data, AI, or GenAI initiatives with a focus on competency building and organizational anchoring of new working methods — Junior (? 3 years of experience)
- M3: Responsibility for the conception or implementation of a scaled transformation or enablement program — References: 1
- M4: Experience in developing role-based learning paths for the structured impartation of technical or methodological competencies — References: 1
- M5: Experience in measuring adoption or knowledge transfer within transformation or enablement programs — References: 1
- S1: Experience in translating workshop results into structured qualification or enablement measures — References: 1 | 20%
- S2: Experience in developing target group-oriented AI enablement concepts for different competency and experience levels — References: 1 | 20%
- S3: Experience in integrating enablement measures into the processing of AI or GenAI use cases — References: 1 | 20%
- S4: Experience in measuring learning progress using defined assessment or maturity models — References: 1 | 20%
- S5: Experience in analyzing user needs to derive competency requirements in the context of human-AI interaction — References: 1 | 20%
- Start: 2026-10
- Duration: 15 Monate
- Remote: hybrid
- Location: Frankfurt am Main, Deutschland, DE
- Languages: German
Indexed by 9am's meta-search. You are a job provider? Claim or manage this listing
Found on FreelancerMap DE