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.
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