Master Thesis within: Enterprise AI Lifecycle Governance
Core
Research-based investigation of governance models, decision gates, and lifecycle oversight for enterprise AI to support Husqvarna Group's Enterprise AI Hub.
Role type
Master's thesis researcher (AI governance & lifecycle)
Builds
Research-based insights, alternatives, trade-offs, and evaluation criteria for AI governance discussions.
Domain
Enterprise AI governance, technology management, business transformation
Deliverable
research | dashboards & analysis
Required skills
analytical capabilities, conceptual thinking, literature review, benchmarking, stakeholder interview facilitation, framework development
Preferred skills
interest in artificial intelligence, business transformation, technology management, performance measurement, value realization, management control
Technologies
N/A
Responsibilities
Review academic literature on AI lifecycle management, analyze governance mechanisms, compare AI governance with traditional software frameworks, examine decision-making criteria for lifecycle stage progression, develop an evaluation framework for AI lifecycle governance, conduct stakeholder interviews or workshops within the organization, document and present findings and recommendations.
Seniority
Master's student, independent research
