Sales Processing Analyst
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)8+ yrsChennai, BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 28 Sept
Reach people at Hewlett Packard Enterprise (HPE)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Hewlett Packard Enterprise (HPE) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead enterprise-wide transformation initiatives focusing on Order Booking Transformation, process architecture, automation, and operational visibility within GreenLake and A&PS operations.
- Drive development and adoption of AI, automation, and digital solutions to improve process speed, quality, compliance, and user experience.
- Influence and collaborate with executive stakeholders across Operations, Finance, Business Units, Sales, Delivery, and IT to shape future operating models and lead governance, risk, and compliance for transformation initiatives.
Minimum Requirements
- Bachelor’s or Master’s degree in Business, Engineering, Technology, Operations or related discipline.
- Minimum 8 years of experience in Solutions Operations, Sales Operations, GreenLake, Quote-to-Cash, or enterprise transformation functions.
- Experience leading large-scale transformation, automation, or operational excellence programs and influencing executive stakeholders globally.
- Hybrid work model requiring average 2 days per week onsite at HPE office.
Ideal Candidate Profile
- Experienced leader in enterprise transformation with expertise in designing and executing operating models emphasizing simplification, standardization, and AI adoption.
- Strong background in AI-enabled operations, intelligent automation, and digital transformation within Consumption Models or recurring revenue operations.
- Effective at executive-level influence and cross-functional collaboration in global, matrixed organizations, with a focus on measurable business impact and scalability.