Sr. Manager, Enterprise Data & Analytics

About NetApp

 

We’re forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA. We push limits and reward great ideas. What is your great idea?

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." -George Kurian, CEO

Job Summary

We are seeking a highly skilled and motivated individual to join our team as a Senior Manager of the Enterprise Data and Analytics Product Team. In this role, you will be responsible for driving the success of our enterprise data and analytics initiatives. You will lead a team of talented professionals and collaborate with cross-functional stakeholders to deliver innovative data products and solutions. 

 

Join our team and play a pivotal role in shaping and delivering our enterprise data and analytics products, driving data-driven decision-making, and enabling the organization's success. 

 

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 

Job Requirements

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. 

Education

• 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-