ai & automation expert.

• Identify and assess high-value AI and automation use cases across the organization;


• Maintain and prioritize a central AI and automation backlog with clear impact and feasibility criteria
  Conduct regular backlog reviews with business and IT stakeholders;


• Support the implementation of selected RPA solutions, ensuring technical feasibility and alignment with enterprise standards;


• Define and maintain governance and architectural standards for automation and AI initiatives;


• Develop AI governance frameworks to ensure standardization, traceability, and responsible development;


• Align AI and automation efforts with IT architecture and cybersecurity teams to ensure compliance;


• Define and implement AI risk management processes, including model bias assessments and GDPR compliance;


• Monitor and ensure adherence to AI and automation lifecycle governance and operational guardrails;


• Prevent fragmented or redundant automation efforts by establishing standardized tooling and processes;


• Provide guidance and oversight to business and IT teams on automation and AI enablement practices;


• Collaborate closely with the AI & Data Science Engineer team to ensure seamless integration of AI models into automation workflows and alignment across AI and automation initiatives.

• Strong understanding of AI governance, compliance, and risk management principles;


• In-depth knowledge of process automation, RPA, and AI-driven automation concepts;


• Practical understanding of generative AI solutions and their application in automation, governance, and responsible use within business environments;


• Experience with use case discovery, backlog management, and prioritization frameworks;


• Experience managing cross-functional initiatives involving business, IT, and data stakeholders;


• Ability to translate complex processes into structured automation or AI use cases;


• Structured, analytical, and outcome-focused mindset with strong stakeholder engagement skills;


• Effective communicator with experience in facilitating workshops and steering discussions;


• Ability to document standards, guidelines, and best practices for AI and automation adoption

Must Have:

• A successfully completed Bachelor’s or Master’s degree in Information Systems, Business Engineering, or related field;


• At least three years of hands-on experience in implementing automation and AI initiatives, including responsibility for governance, tooling, and cross-functional collaboration;


• Understanding of ML model types and their application in automation contexts;


• Basic Python skills and familiarity with ML libraries like scikit-learn are beneficial;


• General understanding of GenAI concepts (e.g. LLMs, prompt engineering, RAG) and their potential use in process automation or intelligent agents;


• Experience with RPA tools (e.g. UiPath, Power Automate, Automation Anywhere), automation orchestration, and Power Platform as part of enterprise automation tooling;


• Knowledge of AI/ML lifecycle principles, including risk, compliance, and monitoring processes;


• Understanding of IT architecture, data protection, and cybersecurity alignment requirements;


• Understanding of regulatory frameworks relevant to AI and automation (e.g. GDPR, ISO standards);


• Extensive professional experience in distributed, multinational and complex organizations;


• Fluent English (C1) skills written and spoken

Excellent opportunity to join a leading company, with the possibility of professional development.