Product Owner – Enterprise Data & AI

Stellenbeschreibung:

Define and maintain the product backlog for the Data & AI platform, ensuring alignment with the university’s long-term strategic plan and near-term priorities.
Collaborate with faculty, researchers, administrators, and IT leaders to gather requirements and identify high-value data and AI use cases.
Create, refine, and prioritize the product backlog based on business value, compliance requirements, and technical feasibility.
Collaborate with data engineers, AI/ML specialists, developers, and architects to deliver platform features and enhancements.
Partner with institutional data governance groups to enforce data security, compliance, and stewardship and quality standards and processes.
Communicate platform benefits, features, and updates to stakeholders.
Monitor product performance, collect feedback, and adjust priorities based on evolving institutional needs.

Bachelor’s degree in Information Science, Information Systems, Computer Science, Data Science, Business Administration, or related field (Master’s preferred).
5+ years of experience in product ownership, business analysis, or project management, ideally in data, analytics, or AI-focused environments.
Experience in higher education, research, or public sector environments strongly preferred.
Proven track record of helping deliver enterprise grade data & AI platforms and products within SAFe Agile environments.
Strong understanding of data & AI platforms, data lakes/warehouses, ETL pipelines, APIs, and cloud environments (e.g., Databricks, AWS, Azure, GCP, Salesforce Data Cloud).
Working knowledge of Data Governance (e.g. Purview) and Master Data Management (e.g. Profisee) tools.
Familiarity with AI/ML concepts, predictive analytics, and responsible AI frameworks.
Working knowledge of BI/analytics tools (e.g., Tableau, Power BI, Salesforce CRM Analytics, Looker).
Experience with data governance, privacy, and compliance (FERPA, HIPAA, GDPR, etc.).