Title:  Mgr, HRIS

Job Summary

NetApp is seeking a visionary Senior Manager to lead the foundation and scaling of our People Analytics data, architecture, and insights ecosystem. This is a pivotal role for a technical and strategic leader who will partner closely with IT, HR Systems, and Analytics teams to design, build, and future-proof our data environment for advanced analytics and AI-driven insights

This is a hybrid role with in office expectations in our Raleigh, NC or San Jose, CA office. 

Key Responsibilities

Data Strategy & Architecture

• 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.

Data Governance & Security

• 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.

Analytics & AI Enablement

• • 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.

Leadership & Collaboration

• 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.

Qualifications

Experience

• 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.

Technical Skills

• 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.

Soft Skills

• Strategic thinker and problem solver with strong business acumen and a bias for action.
• Excellent communication, stakeholder management, and influencing skills.
• Ability to translate complex technical concepts for non-technical audiences.

What Sets You Apart

• Experience defining security roles and data ethics for AI/GenAI in HR.
• Experience with structuring data for AI readiness and enabling advanced analytics at scale.
• Passion for building strong partnerships across IT, HR, and Analytics teams.
• Commitment to continuous learning and staying ahead of emerging trends in People Analytics and AI.