Required skills
- AI Governance
- AI Compliance
- IT Strategy
- Operating Model Design
- Organizational Anchoring
- EU AI Act
- Data Protection
- Risk Assessment
- ISO 9001
- CMMI
- Consulting
- Principal Consultant
Languages: German
Job description
Seeking an experienced IT Consultant to establish AI competencies within a consulting environment, focusing on secure and compliant AI deployment, qualification, and practical use-case development. The role involves analyzing requirements, developing strategies, and advising on AI governance and risk.
Project overview
Application/Offer Deadline 10/13/2026, 2:00 PM
Contract Type: Service Project. Clarify employment type/freelancer admissibility and supply chain before submission.
Bundle Request: 6/6
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Project Framework Conditions
Project details
Frankfurt am Main; possibly other locations in Germany
10/19/2026–07/31/2027; approx. 9.40 months
Scope: 30 PT of which 28 remote, 2 onsite = 93.33% remote
Utilization: Average approx. 0.73 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
Organization-wide establishment of GenAI competencies in the consulting environment: secure, compliant AI deployment, qualification, and practical use-case development. Interdisciplinary groups assess 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/competence building and use-case identification/development. Cross-functional working groups with technical leadership; external specialists as needed. Sequential phases according to competence level with milestones; regular communication at management, steering, and operational levels.
3.1. Scope
Independently and self-organized: analyze current/target states and technical/business requirements. Develop IT strategies, architecture/solution concepts, guidelines, and procedures. Evaluate technologies based on economic viability, security, and strategic fit; consider data protection and interfaces. Advise on governance/risk assessments and countermeasures; document quality according to ISO 9001/CMMI and internal specifications. Maintain roadmaps/target architectures; support release/deployment, emergency concepts, and penetration tests. Advise on architecture evolution, modernization, and replacement.
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 strategic consulting on AI, Data, or Digitalization initiatives with a focus on governance, operating model, and organizational anchoring — Principal (> 7 years of experience)
- M2: Experience in developing or implementing AI governance or AI compliance requirements for the productive use of AI solutions — Junior (? 3 years of experience)
- M3: Responsibility for the conception or further development of a governance or AI CoE model, including defined control structures — References: 1
- M4: Responsibility for translating regulatory requirements from the EU AI Act or data protection into organizational governance requirements — References: 1
- M5: Responsibility for designing risk-based approval processes for AI solutions, including defined decision criteria — References: 1
- S1: Responsibility for establishing an AI Data Service Center with a focus on governance model, role structure, or use-case steering — References: 3 | 30%
- S2: Experience in assessing and classifying regulatory, organizational, or technological risks of AI solutions — References: 3 | 20%
- S3: Experience in integrating AI governance requirements into the management of AI use cases — References: 2 | 20%
- S4: Experience in introducing or adapting AI governance models in regulated corporate or infrastructure environments — References: 3 | 15%
- S5: Experience with creating or maintaining governance documentation for AI solutions to meet audit and verification requirements — References: 3 | 15%
- Start: 2026-10
- Duration: 10 Monate
- Remote: hybrid
- Location: Frankfurt am Main, Deutschland, DE
- Languages: German
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