Process Design Engineer - IT

Hewlett Packard Enterprise•Spring, TX

1d•$123,500 - $285,000•Hybrid

About The Position

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. HPE is seeking a Process Design Engineer. As a Future Process Design Engineer, within our IT organization and working cross-functionally across our HPE operational teams, you will be a catalyst for digital transformation. Your role involves envisioning and implementing innovative processes that enhance efficiency, reduce manual efforts, and drive organizational agility. With your expertise in Lean Six Sigma, executive communication, and strategic planning, you will play a critical role in helping Senior Executives drive faster, better-informed decisions, to shape our IT landscape. Unique mastery and recognized authority with strong analytical skills, especially in driving process efficiency improvement and applying technology solutions to core business problems. We measure ongoing return on investment, based on actual realized project outcomes for the clients we work with. Demonstrates mastery in process engineering with subject matter knowledge including technologies, theories, and techniques. Develops and delivers detailed designs innovative principles and ideas. Successfully operates in complex environments across multiple functions. Capable of mediating between parties to achieve optimal process designs. Leads large, cross-functional teams or projects that affect the organization’s long-term goals and objectives. Able to work independently in new or existing areas that lack clear definition.

Requirements

Lean Six Sigma Black Belt certification or equivalent.
Minimum 5 years + of experience in process design, new/future process design, digital transformation, data quality, and project management.
Proven track record as a decisive, action-oriented individual, delivers data-driven business cases to senior executives, leads cross-functional global teams, achieves strategy-aligned, high-value outcomes.
History of turning data analysis into Senior executive recommendations, including data analysis, SQL, querying, statistical analysis, dashboard dev, process mining, LSS quality, business interpretation.
Excellent analytical, statistical, and problem-solving skills.
Coordination and coaching other Lean six sigma professionals
Strategic Thinking: Align process design with long-term organizational goals
Data-Driven Decision-Making: Propose and / or leverage metrics and analytics to drive process enhancements.
Executive Presence: Communicate confidently and persuasively to senior stakeholders.
Demonstrate experience in navigating a complex marketplace of ideas to deliver desired sponsor outcomes.
Change Leadership: Guide teams through transformational shifts.
Extensive expertise in evaluating, selecting, and creating forms of empirical and root-cause analysis, modelling, and testing methodologies to identify areas for process improvement.
Demonstrated business acumen, understanding of organizational strategy, and successful experience managing all aspects of cross- business unit initiatives, including communicating with internal and external stakeholders and directing matrixed teams and resources.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate quality architectures, plans, proposals, and results, and negotiate options at business unit and executive levels.

Nice To Haves

Experience in using Process mining tools and techniques preferred.
Master of Business Administration (MBA) or equivalent preferred.

Responsibilities

Apply Lean Six Sigma methodologies to analyze existing process operations and technology , including data sources, process mining, and statistical validation. Identify opportunities for creative use AI, automate manual processes, streamline workflows, and enhance system capabilities. Align process design with business objectives and customer needs and drive executive alignment. Master-level experience in process engineering, lean, six-sigma, process improvement.
Use process mining tools in conjunction with data dashboards and statistical analysis to drive data-driven investigations, improve executive insights on performance improvement, establish future design improvement action plans, design requirements to deliver value outcomes, and performance monitoring requirements.
Leverage AI , emerging technologies, and best practices to deliver breakthrough designs for future improvements in greenfield and brownfield process roadmaps. Collaborate with leadership & SMEs from Business Operations & IT to define the digital transformation strategy & roadmap. Develop and present future process business cases, value creation plan, and detailed future process maps for IT designers and business operations teams.
Drive the process from root cause analysis to value realization for senior executives and SMEs. Communicate by creating and delivering compelling, data-driven, business cases for enhancements. Deliver root cause analysis, statistical testing, business benefits, ROI, resources, timeline, and impacts. Clearly identify Value Stream and Customer focused outcomes. Clearly identify Value Chain requirements, ROI, and outcome alignment. Secure senior executive sponsorship for your business case and design insights, emphasizing strategic alignment for detailed designs across business and IT teams, gap assessments, and development roadmaps over time.
Deliver persuasive presentations to senior leadership using executive slides supported by strong analytics tools including LSS, process mining, data analytics, and root cause statistical testing. Clearly articulate the value proposition of process improvements. Influence decision-making by presenting data-driven insights. Communicates initiative progress, escalations, and issue analysis to stakeholders.
Manage environments with multiple and sometimes competing performance goals. Demonstrate the ability to provide independent, data-informed, analysis and recommendations. Provide leadership in driving transparency and clarity of process, data, analysis, and recommendations in projects.