NetApp Sr Manager Enterprise Data & Analytics 

United States, North Carolina 

410257906

The role is hybrid, 2 days a week in RTP, NC.

As a Senior Manager in our Enterprise Data and Analytics Product Team, you will engage by:

• Developing a strategic mindset to deliver innovative products addressing market needs.
• Deeply understanding customer needs and prioritizing work accordingly.
• Creating a results-focused culture of accountability, using metrics to measure progress.
• Utilizing insights to drive decisions, experiments, and roadmap prioritization.
• Bringing relevant expertise and maintaining a learning mindset.
• Being a trusted partner, fostering transparency and effective collaboration.
• Actively supporting the development of your team and seeking personal growth

Leadership and Team Management:

• Lead, inspire, and empower a team of data product managers, owners, and solution architects.
• Foster a culture of collaboration, innovation, and continuous learning within the team.
• Provide guidance, coaching, and support to team members to help them achieve their full potential.

Data Strategy and Roadmap:

• Develop and execute a comprehensive data strategy aligned with organizational goals.
• Collaborate with stakeholders to define a long-term vision and roadmap for data and analytics products.
• Identify opportunities for innovation and leverage emerging technologies to drive business value.

Product Development and Management:

• Define and prioritize data products based on customer needs and market trends.
• Collaborate with cross-functional teams, including engineering, data science, and business stakeholders, to ensure successful product development and delivery.
• Manage the end-to-end product lifecycle, from ideation and requirements gathering to launch and ongoing enhancements.

Data Governance and Quality:

• Establish and enforce data governance policies and practices to ensure data integrity, privacy, and compliance.
• Implement data quality standards and processes to enhance the accuracy and reliability of data-driven insights and decision-making.

Stakeholder Engagement and Collaboration:

• Build strong relationships with key stakeholders across the organization, including business leaders, IT teams, and executive management.
• Collaborate closely with business units to understand their data and analytics needs and provide strategic guidance and solutions.
• Present data strategies, product roadmaps, and project updates to senior leadership and stakeholders.

Continuous Improvement and Innovation:

• Stay abreast of industry trends, emerging technologies, and best practices in data and analytics.
• Foster a culture of continuous improvement, innovation, and data-driven decision-making within the team and the organization.
• Identify opportunities to enhance existing products and processes, and drive initiatives for operational efficiency and effectiveness.

• Bachelor's degree in a relevant field (advanced degree preferred).
• 8+ years of experience in product management, data analytics, or related roles, with at least 3 years in a leadership position.
• Strong understanding of enterprise data management, analytics, and business intelligence concepts.
• Experience leading and managing cross-functional teams.
• Demonstrated success in delivering data products and solutions that drive business value and meet customer needs.
• Proficiency in master data, data governance, data quality, and data privacy practices.
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
• Strong analytical and problem-solving abilities, with a data-driven mindset.
• Experience with agile methodologies and product development practices.
• Familiarity with data technologies, such as data warehouses, data lakes, ETL processes, and visualization tools.
• Knowledge of regulatory and compliance requirements related to data management and privacy (e.g., GDPR, CCPA) is a plus.
• Strong functional knowledge in GTM, Finance, HR, Customer Support, Customer Success, Renewals, InstallBase etc. and SaaS applications like SFDC, CPQ, QE, ERP Cloud, GainSight etc.
• Extensive knowledge of BI & Visualization tools like Power BI, Tableau
• Experience with Snowflake, Informatica, FiveTran etc. and operations experience in managing FinOps, Platform support & maintenance
• Experienced in launching Self-service analytics or worked in a mature self-service analytics organization