ABOUT NETSKOPE

Today, there’s more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

POSITION SUMMARY

We are seeking a meticulous and proactive Data Steward to join our Data Operations team. In this role, you will be responsible for managing, maintaining, and ensuring the quality, security, and governance of data. You will collaborate closely with stakeholders, data owners, and technical teams to maintain data integrity, compliance, and availability to support data-driven decisions across the organization.

QUALIFICATIONS

Required:

• Bachelor’s degree in Data Management, Information Systems, Business Administration, or a related field.
• 3+ years of experience in data stewardship, data management, or a related role.
• Strong understanding of data governance principles, data quality management, and data lifecycle management.
• Familiarity with HRIS systems (e.g., Workday, SAP SuccessFactors, ADP) and other HR data platforms.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and experience implementing compliance measures.
• Proficiency in data analysis tools and techniques, with experience in tools like Google Sheets, SQL, or data visualization platforms (e.g., Looker, Tableau, Power BI).
• Exceptional attention to detail, problem-solving skills, and the ability to manage multiple priorities effectively.
• Strong interpersonal and communication skills, with the ability to collaborate across teams and explain data concepts to non-technical audiences.
• Fluent in English

Preferred:

• Certifications in data governance, such as Certified Data Management Professional (CDMP) or similar.
• Familiarity with ETL tools, data integration platforms, and cloud-based data solutions.
• Knowledge of analytics and reporting specific to HR metrics and KPIs.

• Establish and enforce data governance policies and best practices for organizational data.
• Monitor and maintain data quality by identifying and resolving discrepancies, inconsistencies, and inaccuracies.
• Develop and manage data validation processes to ensure compliance with internal policies and regulatory standards (e.g., GDPR, CCPA).
• Manage the lifecycle of data, including onboarding, updates, archiving, and retention, in compliance with policies and regulations.
• Collaborate with Finance, Legal, Security, HR, IT, and other departments to ensure data is collected, stored, and used correctly and efficiently.
• Define and maintain metadata and data dictionaries for data assets.
• Partner with data owners, analysts, and technical teams to establish clear data ownership and stewardship processes.
• Collaborate with the Data Operations team to align business data processes with broader data operations goals and initiatives.
• Ensure data is handled securely, adhering to privacy and security policies, including access controls and encryption.
• Conduct regular audits to ensure data complies with relevant laws, regulations, and organizational standards.
• Assist in the identification and mitigation of risks associated with data handling and sharing.
• Identify opportunities for improving data workflows and automation within data management.
• Implement tools and systems to enhance data governance and streamline data operations processes.
• Contribute to building a data-driven culture by educating stakeholders on the importance of data quality and governance.