Sales Ops Program Mgr
NetApp · Bengaluru
- Experience8–9 yrs
- SalaryNot disclosed
- Work modehybrid
- Levelexecutive
- Posted16 Sept 2026
About NetApp
NetApp is hiring in Bengaluru in technology software. This role looks for around 8+ years of experience.
Skills
- Power BI
- SQL
- DAX
- data modeling
- Salesforce
- Snowflake
- Microsoft Azure
- Amazon Web Services
- Google Cloud Platform
- program management
- data visualization
- dashboard design
The role
A data and analytics program manager at an enterprise data infrastructure company designs sales operations dashboards and revenue analytics programs using Power BI, SQL, and AI-enabled analytics, while guiding cross-functional delivery and executive insights. The role applies data modeling and DAX to scalable reporting solutions.
Full job description
Job Summary
The Senior Data & Analytics Program Manager is a business-savvy analytics leader who can run multiple dashboard and reporting programs end to end across sales operations, revenue analytics, and executive business insights. This role requires strong hands-on expertise in Power BI, SQL, data modeling, and AI-enabled analytics, with the ability to translate complex business problems into scalable dashboards, self-service reporting solutions, and actionable insights for senior leadership.
This role will partner closely with Sales management, IT, Operations, Product, Marketing, Finance, and Data Engineering teams to define analytics requirements, manage delivery roadmaps, improve data quality, and drive adoption of business-critical dashboards. The ideal candidate is comfortable engaging with VP-level stakeholders while also guiding analysts and developers through requirements, SQL logic, Power BI design, testing, deployment, and continuous improvement.
Job Requirements
Lead discovery discussions with senior business leaders to understand reporting priorities, success metrics, decision workflows, and dashboard adoption goalsManage multiple Power BI dashboard projects simultaneously, including intake, scope definition, prioritization, sprint planning, UAT, release management, and stakeholder communicationStrong Dashboard Designing skills for all the various levels of organization like SVP,VP and down to the Sales Rep Level.Develop strong understanding of sales processes, SFDC data, pipeline management, forecasting, planning, quota, incentives, compensation, and marketplace transaction data across AWS, Azure, and GCPDesign and deliver scalable Power BI solutions using SQL, semantic models, DAX, dataflows, Snowflake or cloud data warehouse sources, and reusable reporting patternsEnsure dashboard accuracy, performance, governance, documentation, refresh reliability, access controls, and alignment between Power BI, SFDC, and source data systemsUse AI-assisted analytics, natural language querying, anomaly detection, automated insights, and Copilot-enabled workflows to improve speed, quality, and business impact of reporting deliverablesBuild executive-ready narratives, business reviews, and insight presentations that clearly explain trends, risks, opportunities, and recommended actions for sales and GTM leadership
Education
8+ years of experience in data analytics, business intelligence, sales operations, revenue analytics, or GTM analytics, with demonstrated ownership of enterprise dashboard portfoliosHands-on Dashboard Designing skills for developing visually appealing dashboards and it is a must have for this role.Proven experience building executive-level Power BI dashboards, KPI scorecards, operational reporting frameworks, and data visualization solutions that influence business decisionsAdvanced proficiency in SQL, Power BI, DAX, data modeling, Snowflake or similar cloud data platforms, and modern BI delivery practicesStrong program management skills with the ability to manage competing priorities, lead cross-functional delivery, mentor analytics team members, and communicate trade-offs clearly to senior stakeholdersHands-on experience applying AI to analytics use cases such as automated data exploration, dashboard copilots, insight generation, data quality checks, forecasting support, and productivity automation is highly desirableBachelor’s degree in Engineering, Computer Science, Statistics, Data Science, Business Analytics, or a related field is required; MBA or master’s degree preferred
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 You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.