Business Operations Specialist

Business Operations Specialist

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

HPE Juniper Network Products and Advance Technology (NPAT) is the organization responsible for PLM (Product Line Managers) and Engineering Ops for HPE Juniper offerings.

PLM and Engineering Ops is the team responsible for the operations within that organization.

The job role reports to the Director, Offering Operations.

We're seeking a Business Operations Specialist to lead daily production support and integration initiatives across product lifecycle management, offering tools, and product master data quality.

This role requires agility in resolving operational issues while driving strategic integration priorities from idea to offering.

This is a US based, hybrid position.

Key Responsibilities:

This role partners closely with Product Line Management, Engineering, Sales, Global Services, and cross-functional Operations and Finance teams across HPE Juniper.

The focus is on driving product data excellence, operational readiness, and customer experience-leveraging AI and automation to scale impact.



* Enhance Customer Experience : Identify friction points and implement product and process improvements using data insights and AI-driven feedback loops.


* Product Data Intelligence : Analyze product data streams (e.g., BOMs, lifecycle metrics) to recommend changes aligned with business goals; apply AI tools for anomaly detection and trend analysis.


* IT & Data Governance Collaboration : Lead weekly reviews with IT and Product Data Control to track break-fix and enhancement progress; escalate blockers and drive resolution.


* Master Data Stewardship : Ensure product master data is accurate, complete, and consistent across systems; use AI validation tools to detect and resolve quality issues.


* Integration & Change Readiness : Coordinate cross-functional readiness for new product launches and system integrations, including documentation, testing, and stakeholder alignment.


* Root Cause Analysis & Issue Triage : Lead resolution of production issues by identifying root causes, collaborating with IT/business teams, and implementing preventive measures-support...