HR Student Assistant supporting the People Analytics and PMO at Loqu Optical Group. Engaging in data analytics and project management with a focus on HR processes.
About the role
- Senior Manager overseeing People Analytics data architecture and AI-driven insights for NetApp. Collaborating with IT and HR teams to ensure scalability and ethical data stewardship.
Responsibilities
- Define and execute in partnership with IT, the data architecture strategy for People Analytics, ensuring scalability, reliability, and performance.
- Influence and co-design the HR data ecosystem, including relational and graph databases, to support current and future analytics and AI use cases.
- Establish best practices for data modeling, integration, and storage, ensuring data is structured and consumable for AI and agentic solutions.
- Develop and enforce robust data governance frameworks, including data quality, privacy, and compliance standards (GDPR, CCPA, etc.).
- Define and manage security roles and access controls for sensitive HR data, with a focus on ethical use and readiness for generative and agentic AI.
- Lead the definition and implementation of data security and ethics requirements for AI-driven solutions.
- Partner with People Analytics Consultants and HR teams to deliver self-service analytics and actionable insights.
- Enable and manage Retrieval-Augmented Generation (RAG) and prompt engineering for effective AI deployment and accurate output generation.
- Manage and mentor a team fostering a culture of innovation, continuous improvement, and ethical data stewardship.
- Collaborate with cross-functional teams (HR, IT, Finance, Legal) to align data initiatives with business priorities and ensure seamless integration.
- Serve as a thought leader and advocate for data-driven decision-making and AI readiness across the People Analytics function.
Requirements
- 8+ years in building analytics at scale and/or data engineering roles, with at least 3 years in a leadership capacity.
- Proven experience in HR data domains and People Analytics preferred.
- Demonstrated success in building scalable data architectures and leading data governance initiatives.
- Expertise in data architecture, ETL pipelines, and cloud platforms (AWS, Azure, GCP).
- Proficiency in SQL, Python, and data visualization tools (Power BI).
- Experience with HRIS systems (SAP SuccessFactors) and related data structures.
- Familiarity with graph databases and large-scale distributed systems.
- Strong understanding of agentic and generative AI solutions, RAG development, and prompt engineering.
Benefits
- Health Insurance
- Life Insurance
- Retirement or Pension Plans
- Paid Time Off (PTO)
- various Leave options
- Performance-Based Incentives
- employee stock purchase plan
- restricted stocks (RSU’s)
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