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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.

Compensation:

The target salary range for this position is 165,750 - 246,400 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

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We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why NetApp?

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family.

We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future.

If you want to help us build knowledge and solve big problems, let's talk.