Product and Services Data Operations Manager : HPE Networking Aruba

Product and Services Data Operations Manager : HPE Networking Aruba

  

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:

   

Key responsibilities:

• Provides overall people-care management for direct reports, including hiring, setting, and monitoring of annual performance plans, coaching, and career development; drives and fosters organization-wide performance standards, expectations, and practices to support ongoing team member and process development.
• Lead Product master data control and governance team within PLM, ERP and MDM systems ensuring data accuracy and integrity, and continuous improvements.
• Drives NPI readiness and Mfg partner collaboration – ensuring data readiness, timely release, and secured data communication.
• Partner with cross functional teams across Order Management, Finance, Services, Supply chain, and IT to streamline end to end data management. Lead Business unit level data transformation and integration efforts, aligning tools and workflows with HPE’s enterprise and AI strategy.
• Define product and services data quality policies, standards, procedures, audit controls, and Business continuity plans aligned with Enterprise and ONEPLM digital strategy.
• Enable accurate & timely NPI setup and sustenance product structuring, change management, extension and maintenance of Material Master (MM), BOM & Variant configuration across Engineering, Corporate, Sales, re-biller & fulfillment plants.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing projects and programs, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets met in accordance with program and organizational roadmaps.
• Identify and execute master data process automation opportunities using AI that enhance operational scalability and data accuracy.
• Manages relationships with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating with outsourced resources.

Education and Experience Required:

• Bachelor’s or master’s degree in manufacturing / mechanical / industrial engineering, or equivalent.

• Requires 15+ years of relevant functional PLM / Supply chain domain experience, including

8+ years in people leadership role.

Knowledge and Skills:

• Proven success as people leader in leading PLM/MDM operations and global PLM transformation initiatives.
• Core PLM Competency skills with SAP PLM / S4 HANA, PTC Windchill, SIEMENS, or leading industry technologies.
• Experience with PLM processes, methods, and tools, including CAD integration, Part Management, BOM mgmt, change mgmt, document mgmt and config management.
• E2E Process knowledge and integration with upstream/downstream process and systems
• Demonstrated leadership skills, including coaching, teambuilding, conflict resolution, and influencing.
• Excellent analytical and problem-solving skills.
• Effective communication & presentation skills focused on a wide variety of stakeholders.
• Superior business acumen, technical knowledge of multiple business units, extensive knowledge in applications and technologies and being a fast learner.
• Background in networking or technology products.
• Strong analytical mindset with a passion for transformation and data driven process improvements.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), L