AI Governance & Data Strategy Analyst

O projekcie: - Prestigious position at one of the world's largest banks - Stable, long-term projects - Competitive salary with a B2B contract - Hybrid work (6 days per month from the office in Cracow) and flexible working hours - Private healthcare and multisport card - Personal growth and development opportunities with the possibility to rotate between projects - Referral program and company events - Convenient parking Wymagania: - 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 Codzienne zadania: - Coordinate and structure a portfolio of AI initiatives, ensuring visibility, alignment, and consistency across projects - Design and implement governance processes for AI and data, including control points, evidence requirements, and governance workflows - Identify synergies and reusable solutions across initiatives, and build a structured Pattern Library (taxonomy, templates, best practices) - Develop and maintain a centralized tracking and orchestration layer for AI use cases (status, ownership, datasets, dependencies) - Create dashboards and reporting to support governance, decision-making, and stakeholder visibility - Collaborate with stakeholders across data, technology, and risk functions to align initiatives and drive standardization - Support the definition and adoption of data standards within AI-related processes