Professional Galaxy is an IT and technology consulting company providing highly specialized expertise in IT, software development, SAP, procurement, electronics, and mechanical design. We collaborate with experienced senior experts and deliver strategically valuable competence to some of Sweden’s most complex and analytically demanding projects. Our focus is always on high quality, professionalism, and clear, measurable results.

We are seeking a highly skilled Data & AI Governance Consultant to support the review, enhancement, and implementation of our Data & AI governance framework. This role will focus on updating existing governance documentation, identifying and addressing gaps against leading industry standards, designing an improved operating model for data management, and providing hands-on support in implementing a Responsible AI program.

The ideal candidate brings deep expertise in AI governance, regulatory frameworks, data management practices, and stakeholder facilitation, combined with strong writing, analytical, and advisory skills.

Key Responsibilities:

1. Review & Update AI Governance Documents

   • Conduct a structured review of existing AI governance documents, assessing quality, current state, and alignment to governance principles

   • Lead working sessions with internal teams to gather input, capture gaps, and align required changes

   • Draft revised governance documents ensuring clarity, consistency, and implementation readiness

   • Manage review cycles, incorporate feedback, and prepare final sign-off versions
     Outcome: Updated and implementation-ready versions of all AI governance documents

2. Identify Gaps & Develop Missing AI Governance Documentation

   • Benchmark existing documentation against key standards and frameworks (e.g., EU AI Act, ISO 42001, NIST AI RMF)

   • Conduct structured gap analysis to identify missing governance components, areas of exposure, and priorities for remediation

   • Develop new governance documents where needed, ensuring alignment with best practices and organizational requirements

   • Present findings and recommendations to stakeholders clearly and actionably
     Outcome: Comprehensive gap analysis and creation of missing governance artifacts

3. Enhance the Data & AI Governance Operating Model

   • Co-design an improved data management operating model addressing roles, responsibilities, decision rights, processes, and governance structures

   • Document and iterate the proposed model collaboratively with internal teams

   • Support validation and approval of the operating model by senior stakeholders
     Outcome: A refined data & AI governance operating model ready for adoption

4. Support Implementation of the Responsible AI Program

   • Assess current maturity, scope, and needs of the Responsible AI program

   • Participate in and drive structured implementation sprints to operationalize governance processes (e.g., AI risk assessments, AI reviews, lifecycle controls, tooling input)

   • Conduct enablement workshops to build internal capability and embed Responsible AI practices across teams

   • Provide ongoing advisory support to stakeholders and leadership on Responsible AI governance and strategic decision-making
     Outcome: Practical, hands-on support enabling effective rollout of Responsible AI across the organization

Required Skills & Qualifications:

• Strong experience in Data Governance, AI Governance, Responsible AI, or related regulatory/compliance roles

• Knowledge of ML lifecycles, data pipelines, model evaluation, explainability, bias detection, model monitoring, AI security, robustness, and data quality controls

• Deep knowledge and proven experience of working with AI governance frameworks (EU AI Act, ISO 42001, NIST AI RMF, or equivalents)

• Demonstrated ability to draft and refine policies, guidelines, and governance documents

• Experience facilitating workshops, interviews, and cross-functional working sessions

• Ability to design operating models, governance structures, and organizational processes

• Excellent communication, analytical, and stakeholder-management skills

• Ability to work independently and deliver high-quality outputs within agreed timelines

• Experience in driving federated data governance in data mesh and domain-driven environments

• Ability to work in a multi-cultural, global environment

Application:
Are you the right person for this assignment, or would you like to recommend a strong candidate? Please apply directly through our system with:

• Your updated CV

• Your availability to start the assignment a

In your motivation, describe why you are suitable for this assignment — refer to previous assignments, employment, education, and personal qualities.

Please note: Applications via email are not accepted. All applications must be submitted through the portal to be valid. Assignments are offered continuously, so we recommend applying immediately.