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Business Process Manager - Six Sigma Black Belt

Hewlett Packard Enterprise · Heredia

Nouveau
Senior 🇬🇧 English
Minitab SAS Stata Python Six Sigma DMAIC Lean Kaizen PMP

Description du poste

About the role

Hewlett Packard Enterprise is looking for a Business Process Manager acting as a Six Sigma Black Belt, working onsite at an HPE office. The role leads cross-functional initiatives that improve operational excellence, customer experience and quality, and drives process and data-driven improvements.

Key responsibilities

  • Apply a DMAIC approach to projects and deliver business value
  • Lead focused, collaborative, cross-functional workshops for high-priority initiatives
  • Lead and project-manage large cross-functional initiatives to improve operational excellence, customer experience and quality
  • Run postmortems (lessons learned) for critical escalations and field issues
  • Analyse and summarise study findings to inform decisions on quality, efficiency, cost reduction and customer satisfaction
  • Train Yellow Belt and Green Belt candidates and respond to business requests
  • Manage change, establish processes and procedures and sustain project results

Required profile

  • Six Sigma Black Belt certified with 5 years of experience leading Six Sigma projects
  • Prior experience in an outsourced supply chain environment with contract manufacturers
  • Experience applying Six Sigma methods in daily work rather than only through a big program
  • Experience managing and facilitating cross-functional improvement projects
  • Ability to influence peers and senior executives and work with distributed global teams
  • Ability to coach and mentor others on Six Sigma and drive a culture of quality
  • Master's degree desirable; PMP a plus
  • Moderate travel required; self-starter able to manage projects independently

Required skills

  • Statistical techniques, flow charting and business analysis
  • Engineering, supply chain and customer success/services environments in the technology industry
  • Statistical software such as Minitab, SAS, Stata, R
  • Machine learning applied to quality projects; Python for data analysis is a plus
  • Other continuous improvement methods such as Kaizen and Lean

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Hewlett Packard Enterprise

Heredia