AI Governance & Data Strategy Analyst

HeadHR; Kraków; On-site; PLN 80,000 - 100,000; Full time

Job summary

HeadHR is looking for a professional to coordinate portfolios of AI initiatives in Kraków, Poland. You will design governance processes and identify reusable solutions across projects while collaborating with stakeholders to drive standardization.

The ideal candidate should possess strong analytical skills, a solid understanding of AI/ML concepts, and experience in managing data-related processes. A proactive mindset is essential for simplifying complexity and driving alignment across initiatives.

Qualifications

• Strong analytical and structured problem-solving skills.
• Experience in process design, governance, or transformation initiatives.
• Excellent communication and stakeholder management skills.
• High-level understanding of AI/ML concepts without hands-on model development.
• Working knowledge of data management concepts.

Responsibilities

• Coordinate and structure a portfolio of AI initiatives.
• Design and implement governance processes for AI and data.
• Identify synergies and reusable solutions across initiatives.
• Develop and maintain a centralized tracking layer for AI use cases.
• Create dashboards and reporting for governance and decision-making.
• Collaborate with stakeholders to align initiatives.
• Support the definition and adoption of data standards.

Skills

Analytical skills

Process design

Stakeholder management

AI/ML concepts

Data management concepts

Reporting tools (Excel, Power BI, Jira, Confluence)

Communication skills

Job description

1. Coordinate and structure a portfolio of AI initiatives, ensuring visibility, alignment, and consistency across projects
2. Design and implement governance processes for AI and data, including control points, evidence requirements, and governance workflows
3. Identify synergies and reusable solutions across initiatives, and build a structured Pattern Library (taxonomy, templates, best practices)
4. Develop and maintain a centralized tracking and orchestration layer for AI use cases (status, ownership, datasets, dependencies)
5. Create dashboards and reporting to support governance, decision-making, and stakeholder visibility
6. Collaborate with stakeholders across data, technology, and risk functions to align initiatives and drive standardization
7. Support the definition and adoption of data standards within AI-related processes

Kogo poszukujemy?

• Strong analytical and structured problem-solving skills, with experience in process design, governance, or transformation initiatives
• Excellent communication and stakeholder management skills in complex, multi-team environments
• High-level understanding of AI/ML concepts (e.g., LLMs, AI use cases), without the need for hands-on model development
• Solid understanding of technology components and architecture at a conceptual level
• Working knowledge of data management concepts (data standards, lineage, metadata, data quality, governance)
• Experience in creating structured artefacts (e.g., workflows, RACIs, templates) and reporting (e.g., Excel, Power BI, Jira, Confluence)
• Proactive mindset with the ability to connect topics, simplify complexity, and drive alignment across initiatives