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Principal IT Consultant – AI Governance and Compliance

Original title: Principal IT Consultant – AI Governance und Compliance_#3129_LP3627

Deloitte GmbH · Frankfurt am Main, Deutschland, Germany · Hybrid · Senior

  • Frankfurt am Main, Deutschland, Germany · Hybrid
  • 10 Monate
  • German

Indexed (2 weeks ago) · refreshed constantly

Start
2026-10
Duration
10 Monate
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3059052

Required skills

Nice to have:AI Data Service CenterUse Case ManagementAI Risk ClassificationRegulated EnvironmentsAudit Requirements

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

____

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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