Sr Mgr, People Analytics at Scale

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 165750 - 246400 USD. The salary offered will be determined by the candidates 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 (RSUs) 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.

Required Experience :

Manager

Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1